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Financial Services, Investment Banking, Asset Management

Quantitative Strategist, Global Banking & Markets, Client Analytics

New York, NYOnsiteFull Time$150,000–$225,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • quantitative
  • analytics
  • Java
  • Python
  • AI tools
  • global team
  • multiple projects
  • initiative
  • commercial impact
  • Data Science

Nice to have

  • portfolio construction
  • risk model
  • factor analytics
  • positioning
  • flows metrics
  • Equity

Role summary

The Client Analytics team within Global Banking and Markets is seeking a Quantitative Strategist to drive business decisions and client strategy through data-driven insights. This role involves building scalable analytics platforms and models, conducting complex analyses, and working closely with Sales, Trading, Management, and Clients. The ideal candidate will possess strong quantitative, analytical, programming (Java, Python), and communication skills, with familiarity in AI tools. Responsibilities include developing analytics for market trends, performing deep-dive portfolio analyses, and implementing factor/macroeconomic models, while acting as a client-facing SME. Preferred qualifications include knowledge of portfolio construction, risk modeling, and machine learning.

What We Do

The Client Analytics team is a fundamental part of GS’ Prime Brokerage business, one of the key revenue streams within Global Banking and Markets division. We drive major business decisions and client franchise strategy though insightful analytics and data-driven recommendations. In this entrepreneurial role, we balance our time between building scalable platforms to democratize data and running complex ad-hoc analysis for the desk, management or clients. Our team has a direct impact on key revenue streams for the group.

Who We Look For

If you are looking for a commercially impactful position that allows you to leverage your strong quantitative, analytics, programming and communication skills, then our team is the ideal opportunity for you. You will build data analytics systems, platforms and models and use them to identify and execute new opportunities while working closely with Sales, Trading, Senior Management and Clients. You will establish and build on existing partnerships with colleagues across diverse functions in the firm, frequently serving as a Subject Matter Expert (SME) during client-facing discussions to deliver sophisticated analytical insights. You will enjoy a role that rewards multi-tasking, initiative, adaptability and strong execution and have a direct impact on key revenue streams of the firm.

How You Will Fulfill Your Potential

As a member of our team, you will develop analytics and platforms to track market and hedge fund trends, conduct deep-dive analyses across client portfolios, and research or implement equity (and FICC) factor and macroeconomic models. Additionally, you will act as a client-facing Subject Matter Expert (SME), communicating complex quantitative strategies and technical analytics clearly and confidently to key stakeholders.

Basic Qualifications

  • BS/MS or PhD in a relevant field – such as Applied Mathematics, Data Science, Engineering, Physics, or Finance.
  • Minimum of 2 years of professional experience in a quantitative, analytical, or financial technology role.
  • Excellent verbal and written communication skills to interact directly with clients as a Subject Matter Expert (SME) and present detailed analyses.
  • Strong programming skills in Java, Python, or equivalent language.
  • Familiarity with using AI tools to optimize research, automate workflows, or accelerate software development.
  • Ability to work as part of a global team and deliver results quickly.
  • Comfortable working on multiple projects, demonstrating initiative and showing commercial impact.

Preferred Qualifications

  • Knowledge in portfolio construction techniques, risk model, factor analytics, positioning, and flows metrics.
  • Familiarity with Equity/FICC asset classes.
  • Familiarity in handling big data sets.
  • Familiarity in probability, machine learning techniques, and modern artificial intelligence frameworks.
  • A track record of solving quantitative problems and delivering results in a high-pressure environment.

Please note we will only respond to applications for which we have an interest. 

Salary Range
The expected base salary for this New York, NY, United States-based position is $150,000-$225,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

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