Quantitative Risk Analyst - Global Equities
at Millennium
Posted 25 days ago
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- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Millennium seeks a Quantitative Risk Analyst for Global Equities based in London. The role focuses on building and expanding equities and equity-derivatives risk analytics, prototyping ML-driven and statistical solutions, and partnering with Technology to productionize them. Key tasks include researching tail risk, factor modeling and correlation dynamics, developing anomaly detection and scenario generation models, and running large-scale simulations and stress tests. Candidates should hold a quantitative degree, have 2+ years of quantitative experience (preferably in finance), and be proficient in languages such as Python, C++, R, or Java.
Role: Quantitative Risk Analyst - Global Equities
Department: Risk
Location: London
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.
