*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
10/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
Description: Since our establishment in 1990, Methods has worked with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to deliver value to our customers through effective application of digital thinking and technology change. Methods was acquired by ALTEN Plc (a French multi-national Engineering and IT company) in 2022. Our strategy is to deliver profitable, sustainable growth; expanding ALTEN's Enterprise IT Service capabilities in the UK for both public and private sector customers. Our TDSE (Technical Delivery and Software Engineering) portfolio is a key part of Methods' growth strategy, focusing on software and cloud engineering, consultancy, and technical architecture. Our aim is to deliver value by delivering high-quality solutions, built on a DevOps culture and continuous delivery principles to support digital, data and technology transformation. The business has grown rapidly (from startup in 2019 to just under £30m turnover in 2022-3) and targets profitable growth over the next 5 years as part of ALTEN's global expansion strategy. Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet. We support our clients in the success of their projects while working collaboratively to share knowledge and solve problems. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022. Summary Methods is seeking a Senior Developer to join our growing software engineering team. As a Senior Developer at Methods you will be expected to work on client projects delivering high quality software. You will be expected to feed in to design decisions, help promote best working practices, carry out code reviews, take part in sprint ceremonies and be part of meetings with client stakeholders as required. Away from project work you will be given time for personal development and will be expected to keep improving existing skills and learning new technologies. You will also be asked at times to provide input into bids for new work. Responsibilities Designing and developing high-quality web applications Collaborating with cross-functional teams to gather requirements and define project scopes Implementing innovative solutions to meet project objectives and deliverables Working with Front End developers to integrate user interfaces with Back End functionalities Conducting code reviews and ensuring code quality and best practices Troubleshooting and debugging applications to identify and fix issues Sharing knowledge and providing support to other developers Keeping up-to-date with the latest industry trends and technologies Assisting with writing bids Requirements Extensive .NET C# Experience with NodeJS development Experience developing secure web services and RESTful APIs Experience with Front End technologies such as HTML, CSS, and JavaScript Experience of software testing best practices (TDD, BDD) Familiarity with relational and non-relational databases Experience with continuous integration and deployment Familiarity with cloud platforms (AWS, Azure or GCP) Additional This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of Have you lived in the UK for the last 5 years? Have you travelled outside of the UK for more than 28 days in the last 12 months? If yes, please ask for further details: Dates, location, reason for travel Have you had any extended periods of travel over 3 months in the last 5 years? If yes, please ask for further details: Dates, location, reason for travel Do you have dual nationality or any former nationalities? Are you willing to go through the vetting process for SC? This will be discussed with you at interview. This role is mainly home-based with occasional travel to the office. Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect: Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this we offer: Development - access to LinkedIn Learning, a management development programme, and training Wellness - 24/7 confidential employee assistance programme Flexible Working - including home working and part time Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus - based on company and individual performance Life Assurance - of 4 times base salary Private Medical Insurance - which is non-contributory (spouse and dependants included) Worldwide Travel Insurance - which is non-contributory (spouse and dependants included) Enhanced Maternity and Paternity Pay Travel - season ticket loan, cycle to work scheme For a full list of benefits please visit our website.
10/05/2024
Full time
Description: Since our establishment in 1990, Methods has worked with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to deliver value to our customers through effective application of digital thinking and technology change. Methods was acquired by ALTEN Plc (a French multi-national Engineering and IT company) in 2022. Our strategy is to deliver profitable, sustainable growth; expanding ALTEN's Enterprise IT Service capabilities in the UK for both public and private sector customers. Our TDSE (Technical Delivery and Software Engineering) portfolio is a key part of Methods' growth strategy, focusing on software and cloud engineering, consultancy, and technical architecture. Our aim is to deliver value by delivering high-quality solutions, built on a DevOps culture and continuous delivery principles to support digital, data and technology transformation. The business has grown rapidly (from startup in 2019 to just under £30m turnover in 2022-3) and targets profitable growth over the next 5 years as part of ALTEN's global expansion strategy. Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet. We support our clients in the success of their projects while working collaboratively to share knowledge and solve problems. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022. Summary Methods is seeking a Senior Developer to join our growing software engineering team. As a Senior Developer at Methods you will be expected to work on client projects delivering high quality software. You will be expected to feed in to design decisions, help promote best working practices, carry out code reviews, take part in sprint ceremonies and be part of meetings with client stakeholders as required. Away from project work you will be given time for personal development and will be expected to keep improving existing skills and learning new technologies. You will also be asked at times to provide input into bids for new work. Responsibilities Designing and developing high-quality web applications Collaborating with cross-functional teams to gather requirements and define project scopes Implementing innovative solutions to meet project objectives and deliverables Working with Front End developers to integrate user interfaces with Back End functionalities Conducting code reviews and ensuring code quality and best practices Troubleshooting and debugging applications to identify and fix issues Sharing knowledge and providing support to other developers Keeping up-to-date with the latest industry trends and technologies Assisting with writing bids Requirements Extensive .NET C# Experience with NodeJS development Experience developing secure web services and RESTful APIs Experience with Front End technologies such as HTML, CSS, and JavaScript Experience of software testing best practices (TDD, BDD) Familiarity with relational and non-relational databases Experience with continuous integration and deployment Familiarity with cloud platforms (AWS, Azure or GCP) Additional This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of Have you lived in the UK for the last 5 years? Have you travelled outside of the UK for more than 28 days in the last 12 months? If yes, please ask for further details: Dates, location, reason for travel Have you had any extended periods of travel over 3 months in the last 5 years? If yes, please ask for further details: Dates, location, reason for travel Do you have dual nationality or any former nationalities? Are you willing to go through the vetting process for SC? This will be discussed with you at interview. This role is mainly home-based with occasional travel to the office. Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect: Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this we offer: Development - access to LinkedIn Learning, a management development programme, and training Wellness - 24/7 confidential employee assistance programme Flexible Working - including home working and part time Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus - based on company and individual performance Life Assurance - of 4 times base salary Private Medical Insurance - which is non-contributory (spouse and dependants included) Worldwide Travel Insurance - which is non-contributory (spouse and dependants included) Enhanced Maternity and Paternity Pay Travel - season ticket loan, cycle to work scheme For a full list of benefits please visit our website.
Front End Software Engineer with Front End Development focus and full stack capabilities in JavaScript, React, Typescript, Node.js, CI/CD, and modern JavaScript testing frameworks, and Pair programming to build and evolve the Front End for a market-leading cleantech company building a SaaS software product at the forefront of renewable energy asset/battery performance management. This is a remote role or can be hybrid-based from Cambridge. Essential skills as the Front End Software Engineer (Full Stack) include the majority of Strong Front End skills, including tools such as JavaScript, TypeScript, React, Node.js and HTML5+CSS3, with experience with modern JS frameworks Sound experience and understanding of practises promoting Continuous Delivery, such as TDD and CI Ideally, skills in trunk-based development for rapid delivery DDD - Domain-Driven Design (Bonus Points) Modern JavaScript test frameworks such as Jest, Playwright, and CI/CD pipelines Experience in pairing/Pair programming/team programming, as this is common practice An Understand isolated UI component deployment to support rapid deployment and testing - to help evolve the micro-Front End product Ideally, Solid understanding of cloud-native development and experience with AWS OR Azure Comfortable tackling a wide range of problems as a T-Shaped software engineer Desirable skills : Node.js or Java and the Spring ecosystem are used, but. NET or similar would be welcome Interest and experience in Domain Driven Design and Behaviour Driven Design Experience in using synchronous APIs, messaging and event-driven architectures, and related tooling. Kafka is the backbone of event-driven systems Docker and Containerised deployments Configuration management, deployment management and related tools This role will be part of a small team working on the development of the Front End product for customer-centric SAAS product for renewables performance management, with a strong focus on enablement across stream-aligned product teams through the development of a Front End framework and tooling, backed up by collaboration and coaching to assure a coherent cross-domain product. This is a great chance to focus on the evolution of the Front End product to support automated testing and continuous delivery of multiple features to multiple geographies. You can also flex your technical skills by delivering high-quality, robust code. This is a great chance to join a clean tech company that is building a product at the forefront of renewable energy asset/battery performance management and has a strong software engineering culture. Opus Resourcing acts as an employment agency for permanent employment.
10/05/2024
Full time
Front End Software Engineer with Front End Development focus and full stack capabilities in JavaScript, React, Typescript, Node.js, CI/CD, and modern JavaScript testing frameworks, and Pair programming to build and evolve the Front End for a market-leading cleantech company building a SaaS software product at the forefront of renewable energy asset/battery performance management. This is a remote role or can be hybrid-based from Cambridge. Essential skills as the Front End Software Engineer (Full Stack) include the majority of Strong Front End skills, including tools such as JavaScript, TypeScript, React, Node.js and HTML5+CSS3, with experience with modern JS frameworks Sound experience and understanding of practises promoting Continuous Delivery, such as TDD and CI Ideally, skills in trunk-based development for rapid delivery DDD - Domain-Driven Design (Bonus Points) Modern JavaScript test frameworks such as Jest, Playwright, and CI/CD pipelines Experience in pairing/Pair programming/team programming, as this is common practice An Understand isolated UI component deployment to support rapid deployment and testing - to help evolve the micro-Front End product Ideally, Solid understanding of cloud-native development and experience with AWS OR Azure Comfortable tackling a wide range of problems as a T-Shaped software engineer Desirable skills : Node.js or Java and the Spring ecosystem are used, but. NET or similar would be welcome Interest and experience in Domain Driven Design and Behaviour Driven Design Experience in using synchronous APIs, messaging and event-driven architectures, and related tooling. Kafka is the backbone of event-driven systems Docker and Containerised deployments Configuration management, deployment management and related tools This role will be part of a small team working on the development of the Front End product for customer-centric SAAS product for renewables performance management, with a strong focus on enablement across stream-aligned product teams through the development of a Front End framework and tooling, backed up by collaboration and coaching to assure a coherent cross-domain product. This is a great chance to focus on the evolution of the Front End product to support automated testing and continuous delivery of multiple features to multiple geographies. You can also flex your technical skills by delivering high-quality, robust code. This is a great chance to join a clean tech company that is building a product at the forefront of renewable energy asset/battery performance management and has a strong software engineering culture. Opus Resourcing acts as an employment agency for permanent employment.
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Woking Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
10/05/2024
Full time
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Woking Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
10/05/2024
Full time
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
09/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £130-155k + 20% Bonus + 10% Pension
09/05/2024
Full time
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £130-155k + 20% Bonus + 10% Pension
Python Technical Lead (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Apache Iceberg Agile The following is DESIRABLE, not essential: Trading, Front Office finance AWS Glue Dremio Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Buy-side asset management (hedge fund, asset manager, investment management) Role: Python Technical Lead (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java, AWS and Iceberg. If you have any experience in Dremio, DBT, Arrow, Spark or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for data around options and Greeks for the Front Office. They are working on projects around issuance data and improving data quality. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £80-100k + 20% Bonus + 10% Pension
09/05/2024
Full time
Python Technical Lead (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Apache Iceberg Agile The following is DESIRABLE, not essential: Trading, Front Office finance AWS Glue Dremio Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Buy-side asset management (hedge fund, asset manager, investment management) Role: Python Technical Lead (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java, AWS and Iceberg. If you have any experience in Dremio, DBT, Arrow, Spark or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for data around options and Greeks for the Front Office. They are working on projects around issuance data and improving data quality. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £80-100k + 20% Bonus + 10% Pension
Senior Python Software Engineer (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Apache Iceberg Agile The following is DESIRABLE, not essential: Trading, Front Office finance AWS Glue Dremio Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java, AWS and Iceberg. If you have any experience in Dremio, DBT, Arrow, Spark or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for data around options and Greeks for the Front Office. They are working on projects around issuance data and improving data quality. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £80-100k + 20% Bonus + 10% Pension
09/05/2024
Full time
Senior Python Software Engineer (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Apache Iceberg Agile The following is DESIRABLE, not essential: Trading, Front Office finance AWS Glue Dremio Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java, AWS and Iceberg. If you have any experience in Dremio, DBT, Arrow, Spark or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for data around options and Greeks for the Front Office. They are working on projects around issuance data and improving data quality. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £80-100k + 20% Bonus + 10% Pension
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £100-130k + 20% Bonus + 10% Pension
09/05/2024
Full time
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £100-130k + 20% Bonus + 10% Pension
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £80-100k + 20% Bonus + 10% Pension
09/05/2024
Full time
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £80-100k + 20% Bonus + 10% Pension
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
08/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
08/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS I am working with one of the world's leading Investment Banks which is looking for an eFX Lead Developer (Director level) to join their Information Systems Department who provide a complete range of state-of-the-art technology services and infrastructure to the global entities across the bank. In this role, you will be working to develop and maintain an automated trading application. You'll work closely with the Traders and Sales to build a low latency, high-performance eFX electronic trading system including Real Time Pricing, Risk, Price Distribution, Algo execution, and various electronic trading workflows. Embracing a hands-on approach and showcasing creativity in problem-solving and product development. Engaging in the development and support of Front Office Systems. Participating in the evaluation and endorsement of new technologies to enhance the Front Office Development team's value. Extracting, comprehending, and analysing functional requirements directly from the Front Office FX desk. Ensuring delivery aligns with agreed-upon requirements through an agile process, following ISD standards for Documentation, System Testing, User Acceptance testing, and Change Control. Maintaining open communication with technical architects within ISD to leverage reusable software for efficient time-to-market. Providing production support for implemented solutions, and handling incidents, problems, and defects. Cross-training other ISD members for solution support may require shifts or on-call duties beyond regular working hours. Designing, implementing, and delivering complex globally distributed high availability Real Time trading system. Key Skills: OO Language - C++/Java/Python/Rust/C# FX Financial Markets Low-Latency Market Data Multi-Threading No-SQL/SQL Unit Testing/TDD/Automated Testing This is a Full time position, offering a highly competitive salary, a strong benefits package, and a performance-related bonus. You will be required to travel to the office 3 days per week. If you think your skills and experience are a good fit for this position, I'd love to speak with you. Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS
08/05/2024
Full time
Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS I am working with one of the world's leading Investment Banks which is looking for an eFX Lead Developer (Director level) to join their Information Systems Department who provide a complete range of state-of-the-art technology services and infrastructure to the global entities across the bank. In this role, you will be working to develop and maintain an automated trading application. You'll work closely with the Traders and Sales to build a low latency, high-performance eFX electronic trading system including Real Time Pricing, Risk, Price Distribution, Algo execution, and various electronic trading workflows. Embracing a hands-on approach and showcasing creativity in problem-solving and product development. Engaging in the development and support of Front Office Systems. Participating in the evaluation and endorsement of new technologies to enhance the Front Office Development team's value. Extracting, comprehending, and analysing functional requirements directly from the Front Office FX desk. Ensuring delivery aligns with agreed-upon requirements through an agile process, following ISD standards for Documentation, System Testing, User Acceptance testing, and Change Control. Maintaining open communication with technical architects within ISD to leverage reusable software for efficient time-to-market. Providing production support for implemented solutions, and handling incidents, problems, and defects. Cross-training other ISD members for solution support may require shifts or on-call duties beyond regular working hours. Designing, implementing, and delivering complex globally distributed high availability Real Time trading system. Key Skills: OO Language - C++/Java/Python/Rust/C# FX Financial Markets Low-Latency Market Data Multi-Threading No-SQL/SQL Unit Testing/TDD/Automated Testing This is a Full time position, offering a highly competitive salary, a strong benefits package, and a performance-related bonus. You will be required to travel to the office 3 days per week. If you think your skills and experience are a good fit for this position, I'd love to speak with you. Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS