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.
17/05/2024
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.
17/05/2024
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.
*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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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 Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
17/05/2024
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 Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
Description: Description: Senior Full Stack Developer Length of contract: 12 months Location: Basel Background : We are looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. The successful candidate should be a self-starter and quick learner. The successful candidate will be working on a challenging and interesting environment that builds and support strategic IT applications for the Bank. Perfect candidate: A Senior Full Stack Developer with strong technical skills, willing to work in an environment where the tech stack is being modernized, bringing new ideas, curiosity towards new technologies. Ideally the successful candidate should have a good understanding of custom developed systems and how to work with them. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and somtimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. (*) Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React (*) Able to solve complex problems by using commonly known design patterns (eg SOLID) (*) Experience in modern UI component libraries like Ant design, Bootstrap or similar (*) Experience in ORMs (Entity Framework especially) (*) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation (*) Interpersonal skills: Fluent English Team player, good collaboration skills Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Skills: C# .net JavaScript react SQL angularjs angular Oracle Job Title: Full Stack Developer Location: Basel, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
17/05/2024
Project-based
Description: Description: Senior Full Stack Developer Length of contract: 12 months Location: Basel Background : We are looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. The successful candidate should be a self-starter and quick learner. The successful candidate will be working on a challenging and interesting environment that builds and support strategic IT applications for the Bank. Perfect candidate: A Senior Full Stack Developer with strong technical skills, willing to work in an environment where the tech stack is being modernized, bringing new ideas, curiosity towards new technologies. Ideally the successful candidate should have a good understanding of custom developed systems and how to work with them. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and somtimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. (*) Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React (*) Able to solve complex problems by using commonly known design patterns (eg SOLID) (*) Experience in modern UI component libraries like Ant design, Bootstrap or similar (*) Experience in ORMs (Entity Framework especially) (*) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation (*) Interpersonal skills: Fluent English Team player, good collaboration skills Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Skills: C# .net JavaScript react SQL angularjs angular Oracle Job Title: Full Stack Developer Location: Basel, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
A C# ASP.NET developer is required to join a leading cutting edge software development team based on the edge of Northampton. My client is once again expanding and looking to bring in a specialist developer who will be developing new web-based applications using the latest technologies and practices. This is a hybrid role with 1 day a week in the office, typically Fridays. The C# ASP.NET developer must hold experience in the following; C#, ASP.NET, MVC, AngularJS, CSS3, RESTful APIs, SQL Server, JavaScript, Agile (SCRUM, TDD, BDD). Significant experience with Visual Studio working through the entire SDLC developing web based software is also required. You will also be familiar with .NET Core. Please apply now to find out more and to learn about their very competitive package!
17/05/2024
Full time
A C# ASP.NET developer is required to join a leading cutting edge software development team based on the edge of Northampton. My client is once again expanding and looking to bring in a specialist developer who will be developing new web-based applications using the latest technologies and practices. This is a hybrid role with 1 day a week in the office, typically Fridays. The C# ASP.NET developer must hold experience in the following; C#, ASP.NET, MVC, AngularJS, CSS3, RESTful APIs, SQL Server, JavaScript, Agile (SCRUM, TDD, BDD). Significant experience with Visual Studio working through the entire SDLC developing web based software is also required. You will also be familiar with .NET Core. Please apply now to find out more and to learn about their very competitive package!
D365 Senior Support Analyst Hybrid/Birmingham Salary - £45,000 - £50,000 per annum D365 Senior Support Analyst required work alongside other members of the support team to ensure customers get the agreed level of service and will be expected to work independently and assist with case escalations where appropriate. You will play a key role in D365 and Power Platform solution support and participate in every aspect of the D365 and Power Platform solution support from: triage of large case numbers from multiple customers, resolving customer cases, recognising change requests, managing customer escalations and environment/release management. Key Requirements: Can resolve D365 Support cases, provide root cause analysis and create a customer document that outlines the root cause as well as the steps taken to resolve the issue. Provide in-depth knowledge of the D365 CE application and evaluate the customer's business processes against the standard D365 CE functionality where required. Responsible for documenting the business requirements which express what actions a solution must take/how a fix must be implemented and what outcome is expected. Ability to effectively manage their case load and assist in handling and resolving escalation cases. If modifications/customisations are required, either to processes, Power Platform solutions or to the Dynamics 365 CE application, the D365 Senior Support Analyst should facilitate the customer's decision-making process and develop the functional design document that will drive the development process. Technical requirements: Design, create and configure Dynamics 365 CE/Power Platform solutions implementing 'low code, no code' approach. Dynamics 365 CE/CRM product experience on the following: Sales - (Lead/Opportunity/Quote/Order/Invoice). Marketing and campaigns - Including Add-ons eg, Click Dimensions/Mailchimp/Microsoft Dynamics Marketing) Service and Case management including SLAs and Entitlements. Custom ISV/xRM solutions using Dynamics 365 and Power Platform. Entity Design and Entity Relationship modelling implementing multiple relationship types. Model Driven App Form Design. Business Process Flows spanning multiple entities and implementing branching logic. Classic Dynamics 365 CE Workflows, including various trigger events and complex conditional logic. Dynamics 365 CE Dashboards including a combination of charts and list views. Reporting using both the Dynamics 365 report wizard and able to identify where SQL Server Reporting Services (SSRS) reports may be used. Model Driven Apps containing multiple system components. Ribbon Customisation. Where appropriate can implement complex field types (Rollup/Calculated/Customer). Understands the Dynamics 365 CE security model and which components of the system that can be restricted by security. Where necessary, can write and interpret JavaScript within the context of Dynamics 365 CE. Understands and identifies the point at which requirements are more effectively met using custom plugins/workflow assemblies and can articulate those requirements to the relevant colleagues. Ability to extend solutions using complimentary Office 365/Power Platform technologies such as: Power Platform Power Automate - Create and maintain complex Power Automate flows implementing different trigger events, trigger filtering and multiple actions. Power Bi - Understands the key concepts when this technology may be implemented to support an overall deployment. Can modify existing Power Bi reports to meet customer needs. DevOps - Understands how a standard Dynamics 365 CE development cycle works and can use DevOps tasks/user stories/sprints to manage deployment contents. Interested? Please submit your updated CV to Olivia Yafai at Crimson for immediate review. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please visit our website to see Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
17/05/2024
Full time
D365 Senior Support Analyst Hybrid/Birmingham Salary - £45,000 - £50,000 per annum D365 Senior Support Analyst required work alongside other members of the support team to ensure customers get the agreed level of service and will be expected to work independently and assist with case escalations where appropriate. You will play a key role in D365 and Power Platform solution support and participate in every aspect of the D365 and Power Platform solution support from: triage of large case numbers from multiple customers, resolving customer cases, recognising change requests, managing customer escalations and environment/release management. Key Requirements: Can resolve D365 Support cases, provide root cause analysis and create a customer document that outlines the root cause as well as the steps taken to resolve the issue. Provide in-depth knowledge of the D365 CE application and evaluate the customer's business processes against the standard D365 CE functionality where required. Responsible for documenting the business requirements which express what actions a solution must take/how a fix must be implemented and what outcome is expected. Ability to effectively manage their case load and assist in handling and resolving escalation cases. If modifications/customisations are required, either to processes, Power Platform solutions or to the Dynamics 365 CE application, the D365 Senior Support Analyst should facilitate the customer's decision-making process and develop the functional design document that will drive the development process. Technical requirements: Design, create and configure Dynamics 365 CE/Power Platform solutions implementing 'low code, no code' approach. Dynamics 365 CE/CRM product experience on the following: Sales - (Lead/Opportunity/Quote/Order/Invoice). Marketing and campaigns - Including Add-ons eg, Click Dimensions/Mailchimp/Microsoft Dynamics Marketing) Service and Case management including SLAs and Entitlements. Custom ISV/xRM solutions using Dynamics 365 and Power Platform. Entity Design and Entity Relationship modelling implementing multiple relationship types. Model Driven App Form Design. Business Process Flows spanning multiple entities and implementing branching logic. Classic Dynamics 365 CE Workflows, including various trigger events and complex conditional logic. Dynamics 365 CE Dashboards including a combination of charts and list views. Reporting using both the Dynamics 365 report wizard and able to identify where SQL Server Reporting Services (SSRS) reports may be used. Model Driven Apps containing multiple system components. Ribbon Customisation. Where appropriate can implement complex field types (Rollup/Calculated/Customer). Understands the Dynamics 365 CE security model and which components of the system that can be restricted by security. Where necessary, can write and interpret JavaScript within the context of Dynamics 365 CE. Understands and identifies the point at which requirements are more effectively met using custom plugins/workflow assemblies and can articulate those requirements to the relevant colleagues. Ability to extend solutions using complimentary Office 365/Power Platform technologies such as: Power Platform Power Automate - Create and maintain complex Power Automate flows implementing different trigger events, trigger filtering and multiple actions. Power Bi - Understands the key concepts when this technology may be implemented to support an overall deployment. Can modify existing Power Bi reports to meet customer needs. DevOps - Understands how a standard Dynamics 365 CE development cycle works and can use DevOps tasks/user stories/sprints to manage deployment contents. Interested? Please submit your updated CV to Olivia Yafai at Crimson for immediate review. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please visit our website to see Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
Urgently seeking a Full Stack Developer, Initial 12 Month contract, and the role will be hybrid with 3 days requied on site in Basel, Switzerland. The client is looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. You will be working on a challenging and interesting environment that builds and support strategic IT applications. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and sometimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React Able to solve complex problems by using commonly known design patterns (eg SOLID) Experience in modern UI component libraries like Ant design, Bootstrap or similar Experience in ORMs (Entity Framework especially) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Michael Bailey International is acting as an Employment Business in relation to this vacancy.
17/05/2024
Project-based
Urgently seeking a Full Stack Developer, Initial 12 Month contract, and the role will be hybrid with 3 days requied on site in Basel, Switzerland. The client is looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. You will be working on a challenging and interesting environment that builds and support strategic IT applications. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and sometimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React Able to solve complex problems by using commonly known design patterns (eg SOLID) Experience in modern UI component libraries like Ant design, Bootstrap or similar Experience in ORMs (Entity Framework especially) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Michael Bailey International is acting as an Employment Business in relation to this vacancy.
The ideal candidate will be someone with experience of delivering large scale Identity and access management capabilities preferably in secure public sector environments. Experience and skills: Effective decision making and the ability to understand, solve and resolve technical challenges across varying levels of complexity and risk Takes responsible for leading the technical design of systems and services, justify and communicate design decisions Has experience of the identity and access management domain, including authentication protocols (OAuth, OpenID Connect and SAML) and account life cycle Comfortable with Java application stacks, REST API, Linux virtual server environments, cloud hosting (eg AWS or Azure), IP Networking, configuration of ports and Firewalls, DNS, certificates Provide technical leadership to the build teams and drive the value delivery in iterative dev/test cycles. Undertake structured analysis of technical issues and translating this analysis into technical designs that describe the required solution Identify opportunities to collaborate and reuse components, communicating with both technical and non-technical stakeholders Excellent communication and presentation skills and the ability to collaborate with senior stakeholders and 3rd parties providing technical direction and establishing agreements Able to provide technical leadership, guide and mentor the development team to build solutions according to the design Able to assimilate vendor product integration requirements and make design and technical decisions for optimal use of off-the-shelf and custom Java components, ensuring high performant systems, scalability and maintainability. Technical governance and the assurance of required digital identity services ensuring best practices are followed Good working knowledge of open source and Java technologies, including APIs and microservices Able to interact with and guide a skilled DevSecOps team Agile development methods - Scrum, Kanban, TDD, BDD, etc.
17/05/2024
Full time
The ideal candidate will be someone with experience of delivering large scale Identity and access management capabilities preferably in secure public sector environments. Experience and skills: Effective decision making and the ability to understand, solve and resolve technical challenges across varying levels of complexity and risk Takes responsible for leading the technical design of systems and services, justify and communicate design decisions Has experience of the identity and access management domain, including authentication protocols (OAuth, OpenID Connect and SAML) and account life cycle Comfortable with Java application stacks, REST API, Linux virtual server environments, cloud hosting (eg AWS or Azure), IP Networking, configuration of ports and Firewalls, DNS, certificates Provide technical leadership to the build teams and drive the value delivery in iterative dev/test cycles. Undertake structured analysis of technical issues and translating this analysis into technical designs that describe the required solution Identify opportunities to collaborate and reuse components, communicating with both technical and non-technical stakeholders Excellent communication and presentation skills and the ability to collaborate with senior stakeholders and 3rd parties providing technical direction and establishing agreements Able to provide technical leadership, guide and mentor the development team to build solutions according to the design Able to assimilate vendor product integration requirements and make design and technical decisions for optimal use of off-the-shelf and custom Java components, ensuring high performant systems, scalability and maintainability. Technical governance and the assurance of required digital identity services ensuring best practices are followed Good working knowledge of open source and Java technologies, including APIs and microservices Able to interact with and guide a skilled DevSecOps team Agile development methods - Scrum, Kanban, TDD, BDD, etc.
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.
16/05/2024
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.
We have an exciting job opportunity for Service now Tech Lead role at London, UK. Title: Service now Tech Lead Location: London, UK Duration: Permanent Job Description: 8+ years of hands-on experience in ServiceNow platform. 5+ years of experience in designing end-to-end ServiceNow solutions. Responsibilities Lead the design and implementation of ServiceNow solutions, ensuring alignment with business objectives and industry best practices. Responsible for the technical specification and implementation of the ServiceNow integration. Should have working knowledge of ServiceNow platform for major modules like TSOM, TSM. (OOTB functionality and customization), ITSM, and custom-scoped applications. Should have experience working in the telecommunications domain and implementing ServiceNow in the telecommunications domain. Configure/Customize ServiceNow including Workflows using Flow Designer, Service Catalog, UI, Client scripts, Business rules, UI Actions, Script includes, etc. Custom applications development. Need to be Hands-on in ServiceNow, proactive and have a sense of ownership. Utilize extensive expertise in Service Management tools to enhance and optimize ServiceNow implementations. Collaborate with stakeholders to gather and analyse business requirements, translating them into effective ServiceNow solutions. Requirements: Bachelor's degree in computer science, Information Technology, or related field. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and collaboratively within a team. Proven track record of successfully designing and implementing complex ServiceNow solutions Technical Skills: In-depth knowledge of ServiceNow platform capabilities and modules. Proficient in ServiceNow Scripting (JavaScript, Glide). Experience with ServiceNow integration methodologies. Hands on experience in TSOM, TSM and IT Service Management (ITSM) processes. Certifications: CIS- certification is mandatory. Additional ServiceNow certifications are a plus. Note: Candidate should be willing to learn new modules in ServiceNow as per Project requirements
16/05/2024
Full time
We have an exciting job opportunity for Service now Tech Lead role at London, UK. Title: Service now Tech Lead Location: London, UK Duration: Permanent Job Description: 8+ years of hands-on experience in ServiceNow platform. 5+ years of experience in designing end-to-end ServiceNow solutions. Responsibilities Lead the design and implementation of ServiceNow solutions, ensuring alignment with business objectives and industry best practices. Responsible for the technical specification and implementation of the ServiceNow integration. Should have working knowledge of ServiceNow platform for major modules like TSOM, TSM. (OOTB functionality and customization), ITSM, and custom-scoped applications. Should have experience working in the telecommunications domain and implementing ServiceNow in the telecommunications domain. Configure/Customize ServiceNow including Workflows using Flow Designer, Service Catalog, UI, Client scripts, Business rules, UI Actions, Script includes, etc. Custom applications development. Need to be Hands-on in ServiceNow, proactive and have a sense of ownership. Utilize extensive expertise in Service Management tools to enhance and optimize ServiceNow implementations. Collaborate with stakeholders to gather and analyse business requirements, translating them into effective ServiceNow solutions. Requirements: Bachelor's degree in computer science, Information Technology, or related field. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and collaboratively within a team. Proven track record of successfully designing and implementing complex ServiceNow solutions Technical Skills: In-depth knowledge of ServiceNow platform capabilities and modules. Proficient in ServiceNow Scripting (JavaScript, Glide). Experience with ServiceNow integration methodologies. Hands on experience in TSOM, TSM and IT Service Management (ITSM) processes. Certifications: CIS- certification is mandatory. Additional ServiceNow certifications are a plus. Note: Candidate should be willing to learn new modules in ServiceNow as per Project requirements
A Scottish Tech Org that operate in the space sector, with an office in Edinburgh , are going through a period of growth and are looking for an additional Java Software Engineer to join their core product function - Hybrid working (once a week in office). They've been operating successfully now for over ten years and have almost doubled in size over the past few years, as a result of successful funding campaigns. The organisation operate in the space sector and their products are used for a whole host of different reasons; environmental, safety, defence etc. The project work is genuinely really interesting which has a really positive impact globally (happy to discuss some of their applications further). Their Engineering function is already pretty established , and they're looking to really grow this year. You'd be joining one of their core services which is a crucial component with their overall product. Given the nature of the work they do, they've suggested there is a pretty steep learning curve here, however they have a really supportive and collaborative environment with a dedicated team lead and several other Engineers to lean on. You'll find yourself working in small squads and at times your own dedicated project, so are looking for Engineers that would feel confident enough in time for this. Additionally, the organisation place a really strong importance on developing robust, well-documented and tested software - so are looking for someone that has worked in this kind of environment before. You'll ideally have a couple years of commercial experience with the following; * Java * Databases (Ideally relational Databases) * Working with a Linux environment Experience with the following is highly desirable; * Working within a best practices environment (with a defined development process) * An interest or experience working in the space/aviation sector The organisation are based in Edinburgh , where they support hybrid working. They have suggested it would be ideal if people can pop into the offices once a week for team meetings, and it's usually helpful if people can pop in on occasion when first joining to help with the learning curve, but they're flex on this. In return they're able to offer a salary from £30k to £45k for this role, with good benefits to match which include (36 days holiday, 6% pension, Long-term sickness cover, enhanced Maternity and Paternity leave + much more). The company definitely pride themselves in being an employee orientated company (which is highlighted with the strong tenure of many of their staff members), they're also committed to investing in your development where you're able to sign up for training courses and regularly attend relevant events and conferences. If you're keen to find out more, please apply or drop Doug Paget at Cathcart Technology a message to discuss further.
16/05/2024
Full time
A Scottish Tech Org that operate in the space sector, with an office in Edinburgh , are going through a period of growth and are looking for an additional Java Software Engineer to join their core product function - Hybrid working (once a week in office). They've been operating successfully now for over ten years and have almost doubled in size over the past few years, as a result of successful funding campaigns. The organisation operate in the space sector and their products are used for a whole host of different reasons; environmental, safety, defence etc. The project work is genuinely really interesting which has a really positive impact globally (happy to discuss some of their applications further). Their Engineering function is already pretty established , and they're looking to really grow this year. You'd be joining one of their core services which is a crucial component with their overall product. Given the nature of the work they do, they've suggested there is a pretty steep learning curve here, however they have a really supportive and collaborative environment with a dedicated team lead and several other Engineers to lean on. You'll find yourself working in small squads and at times your own dedicated project, so are looking for Engineers that would feel confident enough in time for this. Additionally, the organisation place a really strong importance on developing robust, well-documented and tested software - so are looking for someone that has worked in this kind of environment before. You'll ideally have a couple years of commercial experience with the following; * Java * Databases (Ideally relational Databases) * Working with a Linux environment Experience with the following is highly desirable; * Working within a best practices environment (with a defined development process) * An interest or experience working in the space/aviation sector The organisation are based in Edinburgh , where they support hybrid working. They have suggested it would be ideal if people can pop into the offices once a week for team meetings, and it's usually helpful if people can pop in on occasion when first joining to help with the learning curve, but they're flex on this. In return they're able to offer a salary from £30k to £45k for this role, with good benefits to match which include (36 days holiday, 6% pension, Long-term sickness cover, enhanced Maternity and Paternity leave + much more). The company definitely pride themselves in being an employee orientated company (which is highlighted with the strong tenure of many of their staff members), they're also committed to investing in your development where you're able to sign up for training courses and regularly attend relevant events and conferences. If you're keen to find out more, please apply or drop Doug Paget at Cathcart Technology a message to discuss further.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
Murex Application Architect - London - Financial Services - Permanent - (3 days office hybrid working) Our client, a leading financial markets and commodities bank based in the city of London is seeking a Murex Application Architect to join their dynamic Global Markets IT Technology team on a permanent basis. The Role As a Murex Application Architect, you will play a crucial role in designing and managing comprehensive Murex solutions to address business requirements and challenges. This is a senior role within the GM IT technology team with the potential to expand to include wider management responsibilities. The focus will be around the Murex platform and its associated ecosystem. The Murex Application Architect will be pivotal in the change management process, driving and improving the design processes to ensure optimal solutions are implemented to reduce complexity and maintain the stability and supportability of the platform. The Murex Application Architect will be primarily responsible for gathering requirements, designing solutions, documenting, reviewing and approving solutions for the Murex platform to cater for the various business and technical requirements. Key Responsibilities/Accountabilities Requirement gathering and impact analysis for change requests, projects and new product developments Development and support for change requests, projects and new product developments through the development life cycle Collaborate with developers to ensure solutions are suitable, practical and appropriate. Documentation of solutions Document, maintain and promote best practice Murex design patterns Act as a functional design authority ensuring Murex design patterns are followed and exceptions managed Provide input on the strategic direction of technology investments for the Murex platform Engaging with the Technology Risk team to ensure solutions are aligned to the bank's standards and policies Engaging with the Enterprise Architecture (EA) team to ensure solutions are aligned to the wider EA strategy Contribute to business cases for CTB funding as required Undertake interviews for prospective candidates Preferred Qualifications and Experience Extensive experience working within a Murex technology team Experience in a Murex Front Office environment In depth, hands on and broad system wide Murex experience/knowledge is essential Strong experience in at least 5 of the following Murex functional modules: Reporting, Post trade workflows, Pre trade workflows, Front Office, GOM, Static Data, Market Data, Accounting, MRB/MRA, RTBS. Strong understanding of the technical Murex system architecture Previous business analysis and requirement gathering experience Previous design focused experience Murex CI/CD experience preferable Technical skills: Java, Groovy, Shell Scripting, REST APIs, XML/XLST, SQL, Excel Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
16/05/2024
Full time
Murex Application Architect - London - Financial Services - Permanent - (3 days office hybrid working) Our client, a leading financial markets and commodities bank based in the city of London is seeking a Murex Application Architect to join their dynamic Global Markets IT Technology team on a permanent basis. The Role As a Murex Application Architect, you will play a crucial role in designing and managing comprehensive Murex solutions to address business requirements and challenges. This is a senior role within the GM IT technology team with the potential to expand to include wider management responsibilities. The focus will be around the Murex platform and its associated ecosystem. The Murex Application Architect will be pivotal in the change management process, driving and improving the design processes to ensure optimal solutions are implemented to reduce complexity and maintain the stability and supportability of the platform. The Murex Application Architect will be primarily responsible for gathering requirements, designing solutions, documenting, reviewing and approving solutions for the Murex platform to cater for the various business and technical requirements. Key Responsibilities/Accountabilities Requirement gathering and impact analysis for change requests, projects and new product developments Development and support for change requests, projects and new product developments through the development life cycle Collaborate with developers to ensure solutions are suitable, practical and appropriate. Documentation of solutions Document, maintain and promote best practice Murex design patterns Act as a functional design authority ensuring Murex design patterns are followed and exceptions managed Provide input on the strategic direction of technology investments for the Murex platform Engaging with the Technology Risk team to ensure solutions are aligned to the bank's standards and policies Engaging with the Enterprise Architecture (EA) team to ensure solutions are aligned to the wider EA strategy Contribute to business cases for CTB funding as required Undertake interviews for prospective candidates Preferred Qualifications and Experience Extensive experience working within a Murex technology team Experience in a Murex Front Office environment In depth, hands on and broad system wide Murex experience/knowledge is essential Strong experience in at least 5 of the following Murex functional modules: Reporting, Post trade workflows, Pre trade workflows, Front Office, GOM, Static Data, Market Data, Accounting, MRB/MRA, RTBS. Strong understanding of the technical Murex system architecture Previous business analysis and requirement gathering experience Previous design focused experience Murex CI/CD experience preferable Technical skills: Java, Groovy, Shell Scripting, REST APIs, XML/XLST, SQL, Excel Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
JAVA Solution Architect Are you an experienced JAVA Solution Architect looking for your next contract job? Have you architected full stack JAVA and Angular/Typescript solutions utilising a Domain Driven Design approach? Are you still happy to be hands on and cut code for a near greenfield project? If so this could be the perfect next contract job for you! As the core Solution Architect, you will be working together with another senior developer to define the architecture as the bank moves away from a Legacy application. The current application is written in JAVA and the new application will be heavily message driven making use of JAVA, Spring Boot microservices, Kafka, deployed via Kubernetes and have an Angular/Typescript Front End. The interesting challenge will be that you will be involved from overseeing this from conception through to rollout, keep your hands dirty in writing code and also oversaw the leadership and mentoring of small development team. Given the urgency of this project, preference will be given to candidates that can start immediately - although there is some flexibility on this point. The current set up means that you will be home office based 4 days of the week and travel to the office once per week. If you are interested in finding out more about this JAVA Solution Architect contract job, please send your CV to (see below) or alternatively call me.
16/05/2024
Project-based
JAVA Solution Architect Are you an experienced JAVA Solution Architect looking for your next contract job? Have you architected full stack JAVA and Angular/Typescript solutions utilising a Domain Driven Design approach? Are you still happy to be hands on and cut code for a near greenfield project? If so this could be the perfect next contract job for you! As the core Solution Architect, you will be working together with another senior developer to define the architecture as the bank moves away from a Legacy application. The current application is written in JAVA and the new application will be heavily message driven making use of JAVA, Spring Boot microservices, Kafka, deployed via Kubernetes and have an Angular/Typescript Front End. The interesting challenge will be that you will be involved from overseeing this from conception through to rollout, keep your hands dirty in writing code and also oversaw the leadership and mentoring of small development team. Given the urgency of this project, preference will be given to candidates that can start immediately - although there is some flexibility on this point. The current set up means that you will be home office based 4 days of the week and travel to the office once per week. If you are interested in finding out more about this JAVA Solution Architect contract job, please send your CV to (see below) or alternatively call me.
Radar Engineer - Algorithm Development Salary: £65,000 to £80,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms 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 radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative 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 If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.
16/05/2024
Full time
Radar Engineer - Algorithm Development Salary: £65,000 to £80,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms 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 radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative 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 If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.