Quant Researcher
- Full-time
- On-site · New York, NY, US
- $150K - $200K
Posted
Apply on YC · Original job listing
- Role: Engineering / Data science
- Experience: 3+ years
- Visa: US citizen/visa only
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
Source: Y Combinator job 99249. Listed on YC when retrieved 2026-11-02.