Asset Management - Equity ML Engineer - Vice President

Testing Site - JPMC; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Testing Site - JPMC is seeking a skilled ML/Data Engineer to join the team responsible for building scalable data pipelines and AI/ML capabilities that support US Equity investment processes. The role focuses on end-to-end design from research to production, partnering with portfolio managers, data scientists, and ML engineers.

The candidate will implement data ingestion, inference services, and monitoring for large models, while ensuring cost efficiency and reliability in cloud environments.

Qualifications

• 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.

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.

Skills

Python

REST APIs

OAuth

Cloud platforms

Problem solving

Job description

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