JPMorgan Applied AI/ML Development Governance Senior Associate 

United Kingdom, England, London 

97707054

Join J.P. Morgan Corporate Investment Bank's industry-leading AI team, where you'll combine cutting-edge machine learning techniques with unique data assets to optimize business decisions.

As an Applied AI & Machine Learning Associate within the Markets Operations team, you will be responsible for advancing financial applications from business intelligence to predictive models and automated decision-making. Your role will involve producing and maintaining technical documentation for governance purposes, serving as a technical liaison, and monitoring performance metrics. You will also collaborate with the team to provide operational solutions for the Corporate & Investment Bank's Markets business across all financial asset classes.

Job Responsibilities:

• Produce and maintain comprehensive technical documentation for governance purposes, detailing the internal workings, end-to-end deployment, and usage of production machine learning models.
• Serve as the primary technical liaison between the AI team and governance-related functions, such as model risk, controls, data use, legal, and audit.
• Monitor ongoing performance metrics and identify instances of data drift.
• Manage and preserve artifacts, such as datasets, model files, configurations, and evaluation experiments, to ensure the reproducibility of production models and facilitate audit processes.
• Coordinate the approval process for accessing services essential for AI model development and deployment.
• Participate in audits related to production AI models.
• Assist with hands-on development and deployment of AI models.
• Stay informed about the latest trends and advancements in AI technologies.

Required Qualifications, Capabilities, and Skills:

• Master’s degree or equivalent experience in a quantitative discipline such as Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or Physics.
• Extensive experience in documenting and effectively communicating technical work.
• Experience within the Financial Services industry.
• Strong understanding of machine learning model architectures and the associated risks.
• Proficiency in metrics, benchmarking, and evaluation methodologies for AI-driven, user-facing products, including ongoing performance monitoring.
• Hands-on experience with building AI models.
• Familiarity with software development concepts and technologies, with a focus on AI applications.
• Knowledge of AI governance, encompassing model risk, controls, data use, and legal considerations.
• Exceptional communication skills, with the ability to convey complex technical details to non-technical audiences.

Preferred Qualifications, Capabilities, and Skills:

• Experience with governance specific to Generative AI.