Equities Market risk Strats, Associate, Paris

Posted 9 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
In-Office
Senior level
Fintech • Financial Services
The Role
Develop, maintain, test, and productionize quantitative market risk and capital models for equity derivatives, including Value-at-Risk and stress testing. Perform pricing, risk, and capital impact analyses; communicate model results and quantitative recommendations to stakeholders; and lead a team of quantitative analysts.
Summary Generated by Built In

The Core Engineering 

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: 

  • Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions
  • The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics
  • Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions
  • Non-Financial Risk & Controls: responsible for non-financial risk and control processes
  • Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement
  • Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk 

MARKET RISK STRATS

The Market Risk Strats team within the Core Strats is a quantitative modelling team 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.

YOUR IMPACT

The responsibilities can include: 

  • Developing, refining and maintaining robust and production quality market risk models (such as value-at-risk, stress tests) and capital mdels. This involves identifying market risk factors for various products 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.

REQUIREMENTS

  • Strong quantitative skills with a PhD degree in a quantitative discipline (Physics, Mathematics, Quantitative Finance, Computer Science, Engineering, etc.) or a Bachelor’s/Master’s degree in a quantitative discipline with 1-3 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.
  • Excellent written, verbal and team-oriented communication skills.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.


Skills Required

  • PhD in Physics, Mathematics, Quantitative Finance, Computer Science, Engineering, or another quantitative discipline, plus 5 years of relevant experience; alternatively, a Bachelor's or Master's degree in a quantitative discipline plus 8 years of relevant experience.
  • Excellent knowledge of mathematics, quantitative modeling, numerical techniques, statistics, time series analysis, econometric modeling, and probability theory.
  • Strong programming skills in a popular programming language such as Java, C++, or Python.
  • Hands-on experience developing pricing or risk models for equity derivatives.
  • Experience managing a team of quantitative analysts.

Goldman Sachs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.

  • Healthcare Strength — Healthcare is described as offering multiple plan options with subsidized premiums and prescription coverage. Materials indicate there are no pre-existing condition limitations in the U.S. summary.
  • Retirement Support — Retirement benefits are considered competitive, including employer 401(k) matching and access to financial education and planning resources. These features position long-term savings as a core component of the package.
  • Parental & Family Support — Family-support programs include paid parenting leave, family-care leave, and resources such as childcare support and lactation rooms in some offices. These offerings signal emphasis on supporting caregivers alongside work.

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The Company
HQ: New York, NY
67,118 Employees

What We Do

At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com

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