Asset Management - Equity ML Engineer - Vice President
at J.P. Morgan
Posted 16 days ago
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Join a team of portfolio managers, data scientists, and ML engineers to design, build, and operationalize AI/ML capabilities that support the US Equity investment process from research through production. You will implement scalable data ingestion and transformation pipelines, design and operate inference services and monitoring for large models, and contribute to experiment tracking, reproducibility, evaluation, and post-deployment monitoring. The role involves close collaboration with portfolio managers to develop new investment capabilities and optimizing cost, performance, and reliability in cloud environments. Ideal candidates have strong Python skills, cloud experience, and several years building large-scale data and modeling pipelines.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
Job Summary
As a part of the team of portfolio managers, data scientists, and ML Engineers, you will design, build, and operationalize AI/ML capabilities that contribute directly to the team’s investment process—from research through production. Your problem-solving capabilities will have a high impact on the team’s efforts to identify investment opportunities for the US Equity portfolios managed by the team.
Job Responsibilities
- Implement scalable data ingestion and transformation pipelines for financial and alternative data
- Design, deploy, and operate inference services and monitoring for large models
- Contribute to robust workflows: experiment tracking, reproducibility, evaluation, and post-deployment monitoring
- Work closely with the portfolio management team to develop new investment capabilities
- Optimize cost, performance, and reliability in cloud environments
Required Qualifications, Capabilities, and Skills:
- 3+ years of relevant experience building large-scale data and modeling pipelines
- Strong proficiency in Python and experience working with REST APIs and OAuth workflows
- Advanced familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure)
- Intellectual curiosity and passion for problem solving
Preferred Qualifications, Capabilities, and Skills:
- Experience working with large-scale natural language processing workflows
- Strong familiarity with deep learning frameworks and libraries (e.g. PyTorch, Tensorflow)
- Demonstrated success deploying systems into cloud environments (AWS preferred)
- Interest in financial markets and Equity market investing
Fundamental Data Science (FDS) is an investment capability within the U.S. Core Equity group at J.P. Morgan Asset Management. The FDS t
