The Goldman Sachs Group, Inc

Associate, Quantitative Strategist, Core Planning and Analysis Strats

The Goldman Sachs Group, Inc • $120K — $150K *
New York, NY 10025In-Person
Finance & Insurance
Less than 5 years of experience
Reposted 3 days ago
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Job Overview by Ladders

Qualifications

  • PhD in Statistics, Computer Science, Applied Mathematics, Physics, or a related quantitative field; Master's or Bachelor's degree may be considered with relevant experience.
  • Strong proficiency in Python; experience or interest in Rust or C++ is a plus.
  • Familiarity with econometric and time-series analysis techniques for multivariate forecasting.
  • Experience in simulation and uncertainty quantification methods, particularly Monte Carlo simulation.
  • Understanding of explainable machine learning and causal inference techniques.

Responsibilities

  • Design and implement advanced quantitative models for forecasting financial metrics and conducting uncertainty quantification.
  • Develop and deploy machine learning models for event prediction and actionable insights.
  • Collaborate with various departments to translate complex needs into models and reports for senior leadership.
  • Oversee the entire model development lifecycle from data collection to scalable cloud deployment.
  • Engineer AI agent systems for enhanced analysis and reporting capabilities, ensuring effective orchestration and management.
  • Conduct simulation studies and maintain comprehensive documentation for model risk management.

Benefits

  • Opportunity to work with cutting-edge AI and quantitative modeling techniques.
  • Collaborative environment with cross-functional teams across business divisions.
  • Engagement in significant corporate financial forecasting and strategic planning initiatives.
  • Potential for growth into leading AI development and quantitative analysis projects.
  • Conducive learning atmosphere suitable for recent PhD graduates.
Full Job Description
Job Description

Role Overview

As an Associate Quantitative Strategist (Strat) within the Core Planning and Analysis Strats team, you will focus on two complementary mandates: (1) the design, development, and implementation of quantitative models to drive Budget Planning & Management - modeling and forecasting revenues, expenses, and balance sheet dynamics - and (2) the design and engineering of AI agents to automate analysis, reporting, and decision support across the planning lifecycle. You will build and deploy scalable solutions in the Cloud, primarily in Python, with opportunities to contribute to our growing adoption of Rust for performance-critical scientific computing.

This position is at the Associate level and is highly suited for recent PhD graduates looking to apply advanced mathematical, statistical, and computational techniques to real-world corporate planning and financial forecasting challenges, and to develop deep expertise in building AI agents for automated analysis.

Job Duties
  • Design, develop, implement, and document advanced quantitative models and scenarios for time-series forecasting of revenues, expenses, and balance sheet items. Incorporate a broad range of economic, financial, and business variables to address practical issues in budget planning and management, and conduct uncertainty quantification.
  • Develop and deploy Statistical and explainable Machine Learning (ML) models for event prediction and forecasting. Derive actionable insights to support corporate strategy, budget planning, regulatory compliance, and internal governance reviews.
  • Collaborate with cross-functional stakeholders across business divisions, Finance, Risk, and other core corporate departments. Translate complex user needs into precise model specifications, analytical metrics, interactive dashboards, and comprehensive reports tailored for senior leadership and operational teams.
  • Execute the end-to-end model development lifecycle, encompassing data collection, exploratory data analysis, feature engineering, variable selection, model selection, hyperparameter tuning, validation, and scalable deployment on the Cloud.
  • Design and engineer Artificial Intelligence (AI) agentic systems to deliver analytical, data science, and reporting capabilities through both interactive and batch reporting interfaces. Manage agent orchestration, context management, knowledge base integration, tool calling, and overall AI lifecycle management.
  • Conduct rigorous simulation studies, provide theoretical justifications, and perform model performance testing. Create and maintain comprehensive technical documentation to support Model Risk Management (MRM) reviews, facilitate finding remediation, and ensure ongoing model monitoring.

Minimum Education & Experience Requirements

Required field of study (U.S. or foreign equivalent, for all paths below): Statistics, Computer Science, Applied Mathematics, Physics, or a related quantitative field.

PhD graduates with strong academic research backgrounds are highly preferred, but we will also consider experienced Masters and Bachelors. We value contributions to open source projects, publications, and other work and activities that provide evidence of exceptional ability.

Special Skills Required to Perform the Job

Prior experience - satisfied through professional work or, for PhD candidates, graduate-level research, coursework, or dissertation work - must demonstrate the following:
  • Programming Languages: Strong proficiency in Python. Experience with - or interest in developing - Rust (or C++) for performance-critical numerical code is a plus and aligns with the team's strategic direction.
  • Econometrics & Time-Series Analysis: Modern econometric and time-series methods for multivariate forecasting and economic scenario generation, including state-space models, VAR/VECM and cointegration analysis, Bayesian VAR and dynamic factor models, structural identification, and nonlinear/regime-switching models.
  • Simulation and Uncertainty Quantification: Monte Carlo simulation and modern Conformal Prediction methods for uncertainty quantification.
  • Machine Learning: Explainable ML, non-parametric statistical learning, principled model selection, and hyperparameter tuning.
  • Causal Inference: Causal model selection and identification, treatment-effect estimation, instrumental variables, and counterfactual / what-if analysis.
  • Production Cloud Deployment: Implementation of mathematical and statistical models in scalable, production-grade Cloud environments.
  • AI Agent Development: Design and implementation of autonomous agentic systems and multi-agent workflows using frameworks such as LangGraph, Google ADK, or AWS Bedrock AgentCore, including orchestration, state/context management, tool integration, and safe execution.

About The Goldman Sachs Group, Inc

The Goldman Sachs Group, Inc. provides investment banking, securities, and investment management services, as well as financial services to corporations, financial institutions, governments, and high-net-worth individuals worldwide. Its Investment Banking segment offers financial advisory services, including advisory assignments concerning mergers and acquisitions, divestitures, corporate defense, risk management, and restructurings and spin-offs; and underwriting services comprising public offerings and private placements of a range of securities, loans, and other financial instruments, and derivative transactions. The company’s Institutional Client Services segment provides client execution services, such as fixed income, currency, and commodities client execution related to making markets in interest rate products, credit products, mortgages, currencies, and commodities; and equities related to making markets in equity products, as well as executes and clears institutional client transactions on stock, options, and futures exchanges. This segment also engages in the securities services business providing financing, securities lending, and other brokerage services to institutional clients, including hedge funds, mutual funds, pension funds, and foundations. Its Investing and Lending segment originates longer-term loans; and invests in debt securities, loans, public and private equity securities, real estate, consolidated investment entities, distressed assets, currencies, commodities, and power generation facilities. The company’s investment management segment provides investment products and services, as well as offers wealth advisory services, including portfolio management and financial counseling, and brokerage and other transaction services.

The Goldman Sachs Group, Inc. Careers

Join the prestigious team at The Goldman Sachs Group, Inc., a global leader in finance and investments, and propel your career to new heights. Our firm is renowned for its commitment to excellence, innovation, and leadership in the financial sector.

Work You’ll Do

At Goldman Sachs, you will be part of a dynamic environment that fosters growth, diversity, and professional development. Engage in transformative projects that redefine the landscape of global finance, driven by a culture of high performance and continuous improvement.

Lead with Innovation and Leadership

Step into a role where your skills will be honed and your leadership capabilities enhanced. The Goldman Sachs Group, Inc. is at the forefront of merging financial expertise with technological innovation, creating a platform for you to lead impactful initiatives.

Join Our Diverse and Inclusive Team

Diversity and inclusion are at the core of our company culture. With employees from various backgrounds, Goldman Sachs thrives on the rich ideas and perspectives that this diversity brings. Here, every team member’s contribution is valued, and every voice is heard.

Explore Job Opportunities and Internships

Whether you’re seeking full-time employment or looking into internship opportunities, Goldman Sachs offers a range of positions that cater to different skills, experiences, and career aspirations. From analyst to executive positions, discover how you can contribute to our legacy of success.

Networking and Professional Growth

Goldman Sachs is not just a workplace. It is a community where you can build lasting relationships with colleagues and industry leaders. Our networking events, mentorship programs, and professional groups foster connections that can accelerate your career trajectory.

Benefits and Career Development

Invest in your future with Goldman Sachs’ unparalleled employee benefits and career development programs. From comprehensive health benefits to personalized career coaching and leadership training, we ensure that our team is equipped for success, both professionally and personally.

Prepare for Your Future

Ready to take the next step? Prepare your resume, sharpen your interview skills, and explore the vast array of job opportunities at The Goldman Sachs Group, Inc. Our hiring process is designed to identify and nurture talent, helping you to achieve your career goals.

Stay Connected

Keep up to date with the latest from Goldman Sachs Careers by subscribing to our job alert emails. Tailor your preferences to receive updates that match your career interests and stay ahead in the competitive financial sector.

Join The Goldman Sachs Group, Inc.

Embark on a rewarding journey with The Goldman Sachs Group, Inc. where your potential is limitless. Explore positions, read about our company culture, and apply today to become part of a team that values growth, leadership, and innovation.

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At The Goldman Sachs Group, Inc., your career is just the beginning – it’s an opportunity to excel and lead in the global financial industry. Join us and make your mark!
Learn more about The Goldman Sachs Group, Inc
Size
45,100 employees
Market Cap
$115.8 billion
Industry
Finance & Insurance
Net Income
$9.4 billion
Founded
1869
5 Year Trend
+11.3%
Revenue
$53.4 billion
NASDAQ
GS
* Ladders Estimates

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