Quant Researcher

About KelAI

The AI Quant: Autonomous Alpha Engine for Funds and Traders.

The role

**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