AI/ML Quant Analyst – Equity Research - Umbrex

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

1. Build, test, and refine quantitative and machine learning models that support equity investment research.
2. Evaluate equity portfolios and risk exposures using quantitative techniques and market data.
3. Develop and maintain Python-based research and production code to support the investment process.
4. Analyze portfolio performance and investigate the drivers behind investment and risk outcomes.
5. Collaborate closely with researchers, engineers, and investment professionals to enhance trading models and portfolio analytics.
6. Support the ongoing development of systematic investment strategies through data-driven research and experimentation.
7. Monitor model performance and contribute to continuous improvements across the research platform.

Qualifications

1. Experience in a quantitative research, quantitative analytics, or investment risk role.
2. Experience independently evaluating portfolios, investment strategies, or quantitative models—not solely preparing reports or supporting others’ analyses.
3. Experience within hedge funds, asset managers, investment banks, or institutional investment firms.
4. Exposure to equity markets is strongly preferred; experience with other asset classes will also be considered.
5. Strong Python programming skills and experience applying quantitative methods to financial problems; familiarity with AI coding tools such as Claude is a plus.
6. 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