About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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