Quant Researcher
About the role
Quant Researcher role at KelAI, a YC-backed autonomous alpha engine company for funds and traders, focusing on onboarding and structuring datasets, applying AI agents to alpha research, and developing systematic investment strategies for hedge funds and institutional investors.
Responsibilities
- 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
Qualifications
- 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
Skills
About KelAI
The AI Quant: Autonomous Alpha Engine for Funds and Traders.
Founded by former WorldQuant portfolio manager & head of event driven systematic strategies Jeremie Cohen, KelAI is building the autonomous alpha engine for hedge funds, traders and institutional investors. Investment teams now have more data, tools and compute than ever, but research still runs across siloed systems and inefficient workflows. KelAI turns that fragmented process into a compounding AI-native engine that continuously finds, tests and validates trading signals at a pace no human team can match.
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