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 dataDesign, deploy, and operate inference services and monitoring for large modelsContribute to robust workflows: experiment tracking, reproducibility, evaluation, and post-deployment monitoringWork closely with the portfolio management team to develop new investment capabilitiesOptimize cost, performance, and reliability in cloud environments

Required Qualifications, Capabilities, and Skills:

3+ years of relevant experience building large-scale data and modeling pipelinesStrong proficiency in Python and experience working with REST APIs and OAuth workflowsAdvanced 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 workflowsStrong 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