Quant Researcher

**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