Market Risk Strats, Equities Risk, VP, London
Goldman Sachs
London, UK
Posted on Jan 8, 2026
MARKET RISK STRATS, RISK, VICE PRESIDENT
We are currently seeking experienced candidates for the position of Vice President in Market Risk Strats team within the Risk Division to lead Equities Market risk Strats
The Market Risk Strats team is a multidisciplinary group of quantitative experts focusing on market risk and capital models. The team is primarily responsible for designing, implementing and maintaining quantitative models for metrics such as Value-at-Risk, Stress Tests and Capital.
Responsibilities
The responsibilities can include:
- Developing, refining and maintaining robust and production quality market risk models (such as value-at-risk, stress tests) and capital models covering Equities businesses. This involves identifying market risk factors for various equity products (derivatives) and building mathematical models to capture their economic and statistical characteristics.
- Implementing, testing and productionizing models and analytics. This involves prototyping models, implementing them and designing tests to ensure the quality of implementation as well as tests for the continuous functioning of the models.
- Performing pricing analyses, risk and capital impact analyses.
- Interact with various other groups such as risk managers, senior managers and stakeholders to explain the results of the models and analytics and provide quantitative advice.
- Leading a team of quantitative analysts, managing their day-to-day activities.
Basic Qualifications
- Strong quantitative skills with a PhD degree in a quantitative discipline (Physics, Mathematics, Quantitative Finance, Computer Science, Engineering, etc.) along with 5 years of relevant work experience or a Bachelor’s/Master’s degree in a quantitative discipline with 8 years of relevant work experience.
- Excellent command of mathematics, modeling and numerical techniques. Good knowledge of statistics, time series analysis, econometric modeling and probability theory.
- Strong programming skills and experience with a popular programming language (Java, C++, Python etc.).
- Hands-on experience of developing pricing models/risk models for equities (derivatives)
- Experience in managing a team of quantitative analysts.
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