About KelAI
The AI Quant: Autonomous Alpha Engine for Funds and Traders. Backed by Y Combinator.
About the role
KelAI is hiring a Quant Researcher in New York, NY, US. The full description is on KelAI's site.
What they'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
More about this role
- 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
- 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
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