Our client, a hedge fund, is seeking anAI/ML Quant Analyst to join a growing quantitative research team focused on developing machine learning-driven equity investment strategies. This is an opportunity to work alongside experienced researchers in a collaborative environment, contributing directly to portfolio research, model development, and risk analysis as the firm prepares to launch and scale a live investment fund.
The ideal candidate is an early- to mid-career quantitative professional with strong technical skills, practical exposure to financial markets, and a genuine interest in applying quantitative techniques to equity investing. This role is best suited for someone who enjoys building and improving research models as part of a team
Key Responsibilities
• Build, test, and refine quantitative and machine learning models that support equity investment research.
• Evaluate equity portfolios and risk exposures using quantitative techniques and market data.
• Develop and maintain Python-based research and production code to support the investment process.
• Analyze portfolio performance and investigate the drivers behind investment and risk outcomes.
• Collaborate closely with researchers, engineers, and investment professionals to enhance trading models and portfolio analytics.
• Support the ongoing development of systematic investment strategies through data-driven research and experimentation.
• Monitor model performance and contribute to continuous improvements across the research platform.
Qualifications
• Experience in a quantitative research, quantitative analytics, or investment risk role.
• Experience independently evaluating portfolios, investment strategies, or quantitative models—not solely preparing reports or supporting others’ analyses.
• Experience within hedge funds, asset managers, investment banks, or institutional investment firms.
• Exposure to equity markets is strongly preferred; experience with other asset classes will also be considered.
• Strong Python programming skills and experience applying quantitative methods to financial problems; familiarity with AI coding tools such as Claude is a plus.
• Collaborative mindset with the ability to work effectively in a fast-paced, research-driven environment.
Project Details
Start: Immediate
Duration: 6 months, with likely extension, then possibility of joining a fund
Time commitment: 5 days per week
Location: 3-4 days per week in-person in Greater NYC
Project ID#: 7963
*This is a 1099 contract role that does not offer health benefits
