Asset & Wealth Management - Quantitative Strategist, MAS - New York, VP

What We Do 

The Multi-Asset Solutions Group (MAS) within Goldman Sachs Asset & Wealth Management delivers customized portfolio solutions for institutional clients, investing across asset classes, regions, and the risk spectrum in both public and private markets. As a front-office quantitative team, MAS Analytics Strats designs and builds tools and systems that support the day-to-day management of approximately $380 billion in client assets. We generate analytics and insights to inform portfolio construction and risk management, and we enhance client experience through our class-leading Investment Dashboard, a modern digital portal. 

Who We Look For 

We seek an experienced quantitative developer to lead a core initiative of delivering next‑generation portfolio management tools and analytics that will scale a fast‑growing business. You will architect and ship production systems, translate investment and risk needs into robust analytics, and partner closely with portfolio managers and fellow strats to turn ideas into durable, client‑facing outcomes. The ideal candidate is intellectually curious, self‑driven, and solutions‑oriented—an independent problem solver and a collaborative teammate—who consistently goes above and beyond in achieving excellence. 

Requirements 

• Education: Undergraduate or graduate degree in a quantitative discipline (e.g., computer science, mathematics, engineering, statistics, physics). 

• Quantitative toolkit: Working knowledge of statistics, linear algebra, numerical methods. 

• Markets and instruments: Solid understanding of financial markets; hands-on experience across multiple asset classes and instruments strongly preferred (e.g., equities, rates, credit, FX, commodities, derivatives). 

• Industry experience: 5+ years in financial services; buy-side exposure is a strong plus. 

• Software engineering: Proven experience in building and operating production systems; strong command of at least one modern programming language (Python, Java/JavaScript, C++, etc), core data structures, algorithms, testing, and CI/CD. 

• Open source and tooling: Prior use of open-source libraries and frameworks is a plus; willingness to learn new technologies and a demonstrated passion for using technology to solve real-world investment problems are required. 

• Collaboration and communication: Ability to translate investment and risk requirements into technical specifications; clear written and verbal communication with portfolio managers, engineers, and stakeholders. 

• Leadership: Demonstrated leadership in owning roadmaps, mentoring teammates, or managing small teams; managerial experience is highly valued. 

• AI-enabled development: Hands-on experience with AI-assisted coding tools (e.g., code copilots, test-generation, refactoring assistants); A strong desire to learn and responsibly adopt agentic AI tools and workflows to accelerate development lifecycle. 

Salary Range 
The expected base salary for this New York, New York, United States-based position is $130000-$250000. 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.