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.
Senior Frontend React Developer, Home Based, £50000 - 60000 + benefits. Market leading software product company is looking for a Senior React Developer who will play a key role in their technology modernisation programme as they move from Angular to React. You will be helping deliver the project replacing the old AngularJS system with React and modernising the UI. To be considered for this role you will be a React guru and will have previously worked as a Senior Developer. If you have helped move to React from Angular that would be an advantage but is not mandatory. Role and Responsibilities - * Drive the change as the company moves from Angular to React. * Implement React across the Tribe. * Use your strong, hands-on React development skills on a daily basis. * Help mentor and develop the junior members of the team. * Upskill the team as appropriate. To be considered you will have - * Excellent and proven React skills and knowledge. * Previously worked as a Lead Engineer. * Strong technical skills including - Typescript/Javascript, HTML5, CSS3, Tailwind * REST API integration * Experience with popular state management libraries like Redux, React Context or Zustand * The ability to translate designs and wireframes into high-quality code - The ability to build reusable components and Front End libraries for future use - Micro-frontends - Angular JS - Nice to have - Jest/Cypress - Storybook - Nice to have This is an excellent role for a Senior React Developer who wants to make a real difference. There is no people management but there is technical leadership. The role is home based with one day a month at their office in Nottingham. Salary is £50000 - 60000 + benefits. Interviews soon so please send your CV for further information.
17/05/2024
Full time
Senior Frontend React Developer, Home Based, £50000 - 60000 + benefits. Market leading software product company is looking for a Senior React Developer who will play a key role in their technology modernisation programme as they move from Angular to React. You will be helping deliver the project replacing the old AngularJS system with React and modernising the UI. To be considered for this role you will be a React guru and will have previously worked as a Senior Developer. If you have helped move to React from Angular that would be an advantage but is not mandatory. Role and Responsibilities - * Drive the change as the company moves from Angular to React. * Implement React across the Tribe. * Use your strong, hands-on React development skills on a daily basis. * Help mentor and develop the junior members of the team. * Upskill the team as appropriate. To be considered you will have - * Excellent and proven React skills and knowledge. * Previously worked as a Lead Engineer. * Strong technical skills including - Typescript/Javascript, HTML5, CSS3, Tailwind * REST API integration * Experience with popular state management libraries like Redux, React Context or Zustand * The ability to translate designs and wireframes into high-quality code - The ability to build reusable components and Front End libraries for future use - Micro-frontends - Angular JS - Nice to have - Jest/Cypress - Storybook - Nice to have This is an excellent role for a Senior React Developer who wants to make a real difference. There is no people management but there is technical leadership. The role is home based with one day a month at their office in Nottingham. Salary is £50000 - 60000 + benefits. Interviews soon so please send your CV for further information.
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.
Role: Technical Lead Salary: £60-80,000 (DOE) Location: UK based, remote first I have a new opportunity with a SaaS XR scale-up who is looking for a Software Engineer. Their primary product supplies a collaboration platform allowing individuals to connect XR wearables to enable seamless communication. You will be joining a close-knit team acting as an SME and leader in the technical department, offering your development expertise working across their SaaS CRM, XR API plug-ins and internal business systems. As a lead you will be expected to take the roadmap vision to deployment and strategize the future of the business. The ideal individual has prior experience in a product-led, small scale-up environment and ideally led teams. Experience 6 years+ PHP, Laravel Strong modern JavaScript development (Vue.js, Node.js, TypeScript etc) AWS (ideally EC2, RDS, ELB, IAM, Elastic Beanstalk) Great understanding of database technologies Having prior mentoring/management experience would be hugely beneficial * We can only accept those in the UK and cannot support relocation or visa sponsorship.* Please forward your CV and let's book in a chat.
17/05/2024
Full time
Role: Technical Lead Salary: £60-80,000 (DOE) Location: UK based, remote first I have a new opportunity with a SaaS XR scale-up who is looking for a Software Engineer. Their primary product supplies a collaboration platform allowing individuals to connect XR wearables to enable seamless communication. You will be joining a close-knit team acting as an SME and leader in the technical department, offering your development expertise working across their SaaS CRM, XR API plug-ins and internal business systems. As a lead you will be expected to take the roadmap vision to deployment and strategize the future of the business. The ideal individual has prior experience in a product-led, small scale-up environment and ideally led teams. Experience 6 years+ PHP, Laravel Strong modern JavaScript development (Vue.js, Node.js, TypeScript etc) AWS (ideally EC2, RDS, ELB, IAM, Elastic Beanstalk) Great understanding of database technologies Having prior mentoring/management experience would be hugely beneficial * We can only accept those in the UK and cannot support relocation or visa sponsorship.* Please forward your CV and let's book in a chat.
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.
Red - The Global SAP Solutions Provider
Puteaux, Hauts-de-Seine
Job Title: ServiceNow technical consultant(ITSM) Duration: 3 months + extension Location: Puteaux Working Mode: Onsite (2 days/Week) Details: Position 1: ServiceNow Technical Consultant Position 2: ServiceNow function (tech lead/product Owner) For actions by TMA ServiceNow in anticipation of a switch to EasyVista (knowledge of both environments). Here are some elements to narrow down your needs: Prerequisites: Knowledge of the ServiceNow platform (priority) Knowledge of the EasyVista platform (a big plus) As a ServiceNow consultant, you should have a solid understanding of fundamental technical concepts. This includes extensive knowledge of JavaScript, which is the primary programming language used in ServiceNow. Understand database and API concepts Certifications ServiceNow publisher certification Servicenow System Administrator Certification EasyVista publisher certification Foundation and Service Manager (ideally) Business certification ITIL Foundation Certification Missions: Replacement of 2 TMA SNOW resources at a client. Knowledge of ServiceNow and also EasyVista to prepare for a large-scale migration The work requested will be around basic workflows linked to the ITIL repository, nothing major to develop on SNOW (small modifications) If interested Please share your Cv at (see below), If not, please share recommendations.
17/05/2024
Project-based
Job Title: ServiceNow technical consultant(ITSM) Duration: 3 months + extension Location: Puteaux Working Mode: Onsite (2 days/Week) Details: Position 1: ServiceNow Technical Consultant Position 2: ServiceNow function (tech lead/product Owner) For actions by TMA ServiceNow in anticipation of a switch to EasyVista (knowledge of both environments). Here are some elements to narrow down your needs: Prerequisites: Knowledge of the ServiceNow platform (priority) Knowledge of the EasyVista platform (a big plus) As a ServiceNow consultant, you should have a solid understanding of fundamental technical concepts. This includes extensive knowledge of JavaScript, which is the primary programming language used in ServiceNow. Understand database and API concepts Certifications ServiceNow publisher certification Servicenow System Administrator Certification EasyVista publisher certification Foundation and Service Manager (ideally) Business certification ITIL Foundation Certification Missions: Replacement of 2 TMA SNOW resources at a client. Knowledge of ServiceNow and also EasyVista to prepare for a large-scale migration The work requested will be around basic workflows linked to the ITIL repository, nothing major to develop on SNOW (small modifications) If interested Please share your Cv at (see below), If not, please share recommendations.
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.
NO SPONSORSHIP ServiceNow Engineer - CMDB, ITOM, Event Management - Technical Experience as a platform owner in the ServiceNow ecosystem. We have found that many of them have System Administration experience but find that they are more functional when it comes to actual platform administration. Proficiency in Scripting Javascript, GlideScript etc. Many candidates understand Scripting in the platform, but it seems like we are getting candidates that are crossing from the functional side of the platform over to the technical side. Experience working with custom apps . Many junior developers do not have this experience even if they have worked in a consulting capacity. Experience working in the ITSM space . Our team needs a resource who can partner with the stakeholders internally and externally. We will be relying on their senior level architecture experience in key strategic situations that affect the business roadmap. A strong understanding of CMDB . We need someone who can come in and provide SME level guidance to the team from a best practice standpoint. SALARY: $140k - $145k plus 15% bonus Location: Chicago - 3 days on site Summary The Software Engineer must have a background in development, system administration and can help others to contribute to platform improvements. Primary Duties and Responsibilities: Provide technical leadership for planning, designing, installing, testing and implementing solutions. Provide subject matter expertise on the ServiceNow Platform for CMDB, ITOM, Event Managemen. Qualifications: 5+ years of working experience in IT 5+ years of experience in implementing ServiceNow or similar platforms for CMDB, ITOM, Event Management 3+ years of experience with Javascript or other Scripting language Experience with RESTful APIs and JSON [Required] Ability to write clean, bug-free code that is easy to understand and easily maintainable Strong understanding of CMDB and aligning to CSDM 4.0 Experience with Scaled Agile Framework (SAFe), Agile/Scrum, and DevSecOps methodologies 5-7 years of experience of development and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certificates or Licenses: - ServiceNow or other low-code/COTS implementation certifications are desired.
16/05/2024
Full time
NO SPONSORSHIP ServiceNow Engineer - CMDB, ITOM, Event Management - Technical Experience as a platform owner in the ServiceNow ecosystem. We have found that many of them have System Administration experience but find that they are more functional when it comes to actual platform administration. Proficiency in Scripting Javascript, GlideScript etc. Many candidates understand Scripting in the platform, but it seems like we are getting candidates that are crossing from the functional side of the platform over to the technical side. Experience working with custom apps . Many junior developers do not have this experience even if they have worked in a consulting capacity. Experience working in the ITSM space . Our team needs a resource who can partner with the stakeholders internally and externally. We will be relying on their senior level architecture experience in key strategic situations that affect the business roadmap. A strong understanding of CMDB . We need someone who can come in and provide SME level guidance to the team from a best practice standpoint. SALARY: $140k - $145k plus 15% bonus Location: Chicago - 3 days on site Summary The Software Engineer must have a background in development, system administration and can help others to contribute to platform improvements. Primary Duties and Responsibilities: Provide technical leadership for planning, designing, installing, testing and implementing solutions. Provide subject matter expertise on the ServiceNow Platform for CMDB, ITOM, Event Managemen. Qualifications: 5+ years of working experience in IT 5+ years of experience in implementing ServiceNow or similar platforms for CMDB, ITOM, Event Management 3+ years of experience with Javascript or other Scripting language Experience with RESTful APIs and JSON [Required] Ability to write clean, bug-free code that is easy to understand and easily maintainable Strong understanding of CMDB and aligning to CSDM 4.0 Experience with Scaled Agile Framework (SAFe), Agile/Scrum, and DevSecOps methodologies 5-7 years of experience of development and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certificates or Licenses: - ServiceNow or other low-code/COTS implementation certifications are desired.
A global IT consultancy have an immediate need for a Power Platform Lead to join a project with a client in the Banking Industry. The ideal candidate will be an excellent communicator, have expertise with Power Platform Technologies as well as knowledge of programming languages such as C# or Java. Inside IR35 12 Month contract 2 days per week on site in London £400 per day Immediate Start Role Requirements: Experience in consulting and leading teams Experience of working in a mid-sized corporate environment, successfully aligning solutions appropriately with wider roadmaps, architecture, and other initiatives. Strong ability to collaborate with cross-functional teams, including business analysts, stakeholders, and other technical teams, to gather requirements and deliver solutions. Familiarity ideally with financially regulated business such as in Banking or Insurance markets. Experience in software engineering Experience in architecture and solution design Proficient in relevant programming languages such as C#, JavaScript, TypeScript, HTML, CSS, and .NET framework. Developing component designs and specification from a high-level solution architecture. Delivering code into, supporting, and extending resilient Continuous Integration (CI) and Continuous Deployment (CD) environments. Understanding of SDLC methodologies (eg, Agile, Scrum) and DevOps practices, CI/CD pipelines, and automated deployment processes. Experience in Power Platforms Proficiency in using and configuring Power Apps, Power Automate, Power BI, and Power Virtual Agents. Understanding of Azure services and how to utilize them for Data integration, data storage, and other related purposes. If you are interested in this role, please send a copy of your CV to (see below)
16/05/2024
Project-based
A global IT consultancy have an immediate need for a Power Platform Lead to join a project with a client in the Banking Industry. The ideal candidate will be an excellent communicator, have expertise with Power Platform Technologies as well as knowledge of programming languages such as C# or Java. Inside IR35 12 Month contract 2 days per week on site in London £400 per day Immediate Start Role Requirements: Experience in consulting and leading teams Experience of working in a mid-sized corporate environment, successfully aligning solutions appropriately with wider roadmaps, architecture, and other initiatives. Strong ability to collaborate with cross-functional teams, including business analysts, stakeholders, and other technical teams, to gather requirements and deliver solutions. Familiarity ideally with financially regulated business such as in Banking or Insurance markets. Experience in software engineering Experience in architecture and solution design Proficient in relevant programming languages such as C#, JavaScript, TypeScript, HTML, CSS, and .NET framework. Developing component designs and specification from a high-level solution architecture. Delivering code into, supporting, and extending resilient Continuous Integration (CI) and Continuous Deployment (CD) environments. Understanding of SDLC methodologies (eg, Agile, Scrum) and DevOps practices, CI/CD pipelines, and automated deployment processes. Experience in Power Platforms Proficiency in using and configuring Power Apps, Power Automate, Power BI, and Power Virtual Agents. Understanding of Azure services and how to utilize them for Data integration, data storage, and other related purposes. If you are interested in this role, please send a copy of your CV to (see below)
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
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.