Planning & Analysis Strats, Quantitative Strategist, Associate, Paris

Planning & Analysis Strats | Budget Planning, Scenario Design and Risk Analytics

Role Overview

As an Associate Quantitative Strategist (Strat) within the Planning & Analysis Strats team, you will design, develop and implement quantitative models and macroeconomic and financial scenarios supporting budget planning and management, firm-wide scenario-based risk management and regulatory stress testing. The role combines econometric modeling, financial forecasting, machine learning and large-scale data analysis to project revenues, expenses and balance sheet dynamics, quantify uncertainty and identify vulnerabilities. You will build scalable solutions on AWS Cloud and develop AI and agentic capabilities to streamline scenario analysis, model development and reporting. You will work with stakeholders across business divisions, Finance, Risk and other corporate functions to translate varied use cases into robust scenarios, models and decision-ready analysis.

This Associate-level position is well suited to recent PhD graduates seeking to apply advanced mathematical, statistical, econometric and computational methods to financial planning, scenario design and risk-management challenges.

Job Duties and Responsibilities

• Research, design, build and implement quantitative models and macroeconomic and financial scenarios for budget planning, risk management and regulatory stress testing, with clear supporting documentation.
• Develop statistical, econometric, time-series and explainable machine-learning models to forecast revenues, expenses, balance sheet items and other financial variables, incorporating structural breaks and regime changes where relevant.
• Manage the end-to-end model-development lifecycle, including data preparation, feature engineering, model selection, validation, testing, uncertainty quantification, documentation, deployment and ongoing monitoring.
• Build scalable analytical tools, production-grade AWS Cloud infrastructure, and AI and agentic capabilities to support scenario development, calibration, implementation, analysis and reporting.
• Partner with business divisions, Finance, Risk and other corporate functions to translate planning and risk-management requirements into quantitative methodologies and decision-ready analysis.
• Prepare clear, auditable materials supporting internal governance, Model Risk Management review, regulatory requirements and remediation activities.

Minimum Education and Experience Requirements

Candidates must meet one of the following requirements:

• PhD degree, or foreign equivalent, in Statistics, Economics, Econometrics, Computer Science, Applied Mathematics, Physics, Financial Engineering or a related quantitative field. No prior professional work experience is required.
• Master’s degree, or foreign equivalent, in one of the above or a related quantitative field, plus one year of experience in the job offered or a related quantitative modeling, scenario-design, financial-engineering or quantitative-development role.
• Bachelor’s degree, or foreign equivalent, in one of the above or a related quantitative field, plus three years of experience in the job offered or a related quantitative modeling, scenario-design, financial-engineering or quantitative-development role.

Preferred profile: PhD graduates with strong academic research backgrounds. For non-PhD candidates, publications, open-source contributions or substantial quantitative projects may demonstrate exceptional technical and research capability.

Special Skills Required to Perform the Job

Relevant experience may be gained through graduate research, coursework, dissertation work, internships or professional employment. Required experience is zero years with a PhD, one year with a Master’s or three years with a Bachelor’s, and must include:

• Programming: Rust, Python or C++ for quantitative modeling, data analysis, scientific computing, model implementation or agentic workflows.
• Scenario Design, Econometrics and Financial Modeling: Development, calibration, testing and documentation of macroeconomic and financial scenarios and models, including forecasting revenues, expenses, balance sheet items and other economic and financial variables using time-series, structural-break and regime-switching techniques.
• Machine Learning, Model Development and Uncertainty Quantification: Feature engineering, variable and model selection, explainable machine learning, causal and non-parametric methods, hyperparameter tuning, validation, performance testing, Monte Carlo simulation, conformal prediction, monitoring and technical documentation.
• Data, Cloud and AI Engineering: Processing large structured and unstructured datasets using SQL and database technologies, and implementing scalable quantitative, machine-learning and agentic solutions using AWS, etc.
  Communication and Collaboration: Translation of business, planning, scenario-design and risk-management requirements into quantitative methods, technical specifications and decision-ready senior-management reporting.

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. 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. : https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2025. All rights reserved.

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

We Offer Best-In-Class Benefits

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

Holiday & Vacation Policies

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.

Opportunity Overview

CORPORATE TITLEAssociate

OFFICE LOCATION(S)Paris

JOB FUNCTIONQuantitative Engineering

DIVISIONThe Core Engineering