**What You’ll Do**
* Onboard, clean, evaluate, and structure new financial and alternative datasets
* Use AI agents to accelerate alpha research, hypothesis generation, and strategy testing
* Develop systematic investment strategies from research concept through validation
* Analyze performance, risk, robustness, and implementation constraints of research outputs
* Work with engineering to improve KelAI’s research workflows and agent capabilities
* Support forward deployment with hedge funds and institutional investors by translating real research workflows into product and research requirements
**What We’re Looking For**
* 3-5 years of experience in quantitative research, systematic investing, data science, or a related field
* Strong understanding of financial markets, alpha research, backtesting, and portfolio construction
* Experience working with large financial datasets and research pipelines
* Strong Python skills and ability to move independently from data exploration to tested research output
* Interest in applying AI agents to investment research and systematic strategy development
* Strong communication skills and ability to work with both technical teams and investment users
Visa sponsorship is not available for this role.
