Quant Researcher

What You’ll Do\n\n- Onboard, clean, evaluate, and structure new financial and alternative datasets\n- Use AI agents to accelerate alpha research, hypothesis generation, and strategy testing\n- Develop systematic investment strategies from research concept through validation\n- Analyze performance, risk, robustness, and implementation constraints of research outputs\n- Work with engineering to improve KelAI’s research workflows and agent capabilities\n- Support forward deployment with hedge funds and institutional investors by translating real research workflows into product and research requirements\n\nWhat We’re Looking For\n\n- 3-5 years of experience in quantitative research, systematic investing, data science, or a related field\n- Strong understanding of financial markets, alpha research, backtesting, and portfolio construction\n- Experience working with large financial datasets and research pipelines\n- Strong Python skills and ability to move independently from data exploration to tested research output\n- Interest in applying AI agents to investment research and systematic strategy development\n- Strong communication skills and ability to work with both technical teams and investment users