DescriptionJoin J.P. Morgan Corporate Investment Banks industryleading AI team where youll combine cuttingedge 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 decisionmaking. 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 Banks Markets business across all financial asset classes.
Job Responsibilities:
- Produce and maintain comprehensive technical documentation for governance purposes detailing the internal workings endtoend deployment and usage of production machine learning models.
- Serve as the primary technical liaison between the AI team and governancerelated 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 handson development and deployment of AI models.
- Stay informed about the latest trends and advancements in AI technologies.
Required Qualifications Capabilities and Skills:
- Masters 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 AIdriven userfacing products including ongoing performance monitoring.
- Handson 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 nontechnical audiences.
Preferred Qualifications Capabilities and Skills:
- Experience with governance specific to Generative AI.
Required Experience:
Senior IC