Millennium is a multi-strategy hedge fund investing across a broad range of asset classes, including Equities, Commodities, and Fixed Income. We are seeking an entrepreneurial Quantitative Risk Analyst to help build and expand our equities and equity-derivatives risk analytics capabilities. In this role, you will research risk-management problems, prototype analytics and ML-driven solutions, and partner with Technology to productionize them within our in-house risk platform. This is a hands-on role at the intersection of quantitative finance, portfolio risk, and scientific computing.

Key Responsibilities

• Develop and enhance the firm’s risk analytics framework for fundamental equity and equity derivative strategies.

• Prototype risk analytics and collaborate with Technology to integrate them into the in-house risk engine.

• Research domain-specific risk questions (e.g., tail risk, factor modeling, volatility regime shifts, correlation/dispersion dynamics) and translate results into measurable analytics and tools.

• Build statistical and machine learning models to improve risk insight and automation (e.g., anomaly detection on portfolio exposures/Greeks, scenario generation/expansion, non-linear risk approximations).

• Apply modern scientific computing techniques to run large-scale simulations, stress tests, and factor decompositions, and synthesize findings into actionable conclusions.

Qualifications

• Degree in a quantitative discipline: Computer Science, Statistics, Mathematics, Engineering.

• 2+ years of experience in a quantitative role; preferably in a financial organization.

• Proficiency in at least one programming language such as Python, C++, R, or Java.

• Working knowledge of equity risk modeling and quantitative methods (e.g., equity factor models, principal component analysis).

• Strong written and verbal communication skills, with the ability to present clearly to senior Risk stakeholders and Portfolio Managers.

• Self-starter with a strong ownership mindset and the ability to operate effectively in a fast-paced environment.