Asset & Wealth Management - Quantitative Engineer - Vice President- New York - The Goldman Sachs Group : Job Details

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 nextgeneration portfolio management tools and analytics that will scale a fastgrowing 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, clientfacing outcomes. The ideal candidate is intellectually curious, selfdriven, and solutionsoriented-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.

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. Learn more 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. Learn more:

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