Quantitative Strategist, Global Banking & Markets, Client Analytics

Goldman Sachs (lateral); New York (NY); On-site; USD 150,000 - 225,000; Full time

Job summary

Goldman Sachs in New York, NY seeks a quantitative analytics professional to build scalable data platforms and deliver data-driven insights for prime brokerage. You will run complex analyses for the desk, management and clients, collaborating across Sales, Trading and senior management.

The role emphasizes analytics, programming, and clear communication to drive commercial impact and partnerships across the firm.

Qualifications

• BS/MS or PhD in a quantitative field such as applied math, data science, engineering, physics or finance.
• 2+ years in a quantitative, analytical, or fintech role.
• Excellent verbal and written communication to interact with clients as SME.
• Strong programming skills in Java, Python or equivalent.

Responsibilities

• Build analytics systems, platforms and models to identify opportunities.
• Perform ad-hoc analyses for desk, management or clients.
• Serve as SME in client-facing discussions and deliver analytical insights.

Skills

Java

Python

Analytics

Communication

Big data

Education

BS/MS or PhD in Applied Mathematics/Data Science/Engineering/Physics/Finance

Tools

AI tools

Data visualization

Job description

What We Do

Our 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.

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 .