Asset & Wealth Management - Multi Asset Solutions (MAS) Digital Strats - Associate - New York

Who We Are The MAS Digital Strats team at Goldman Sachs takes a hands‑on approach to ideate, design, and implement full‑stack solutions for portfolio managers, sales teams, and clients. Our primary objectives are to drive revenue growth through the development of sophisticated tools for portfolio construction and client engagement, while also delivering scalable and efficient systems for portfolio management. We design, build, and maintain every layer of our technology stack—including databases, data caching, calculation engines, workflow orchestration, and front‑end tooling—and leverage quantitative models to decompose multi‑asset portfolios from both top‑down and bottom‑up perspectives. Increasingly, we are integrating AI and agent‑based tools to provide intuitive, flexible solutions and drive efficiency for stakeholders. This role is ideal for individuals with a keen interest in understanding business problems and expanding their technical skillsets. What You Do Develop and maintain proprietary infrastructure, libraries and APIs that provide quantitative portfolio analytics and data insights Collaborate with colleagues to design and implement full‑stack solutions for portfolio managers and sales teams, including dashboard and reporting tools Work closely with stakeholders to understand requirements and contribute to impactful solutions that drive revenue growth Develop AI and agent‑based technologies to enhance user experience and operational efficiency Ensure production systems are sustainable, adaptable, and resilient in a dynamic business environment Learn and apply quantitative models to decompose multi‑asset portfolios from both top‑down and bottom‑up perspectives What We Look For 3‑5 years of experience as a developer in quantitative or technical fields, with demonstrated interest in financial technology Technical degree in Computer Science, Mathematics, Engineering, or a related field Proficiency in multiple programming languages such as Python, TypeScript or JavaScript. Familiarity with front‑end frameworks is a plus. Familiarity with databases (SQL, MongoDB), data caching, and workflow orchestration concepts Experience building autonomous agentic workflows to transform traditional processes and boost operational efficiency Some knowledge of modern DevOps practices and tools such as Kubernetes Interest in quantitative modeling, portfolio theory, portfolio construction, and risk analytics Eagerness to work across the full technology stack, from databases and infrastructure to user interfaces Strong communication skills, with the ability to collaborate with global teams and stakeholders Self‑motivated, curious problem‑solver with a passion for learning and innovation in financial technology Salary Range The expected base salary for this New York, New York, United States‑based position is $115000-$180000. 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. Equal Opportunity Employer and Accommodations We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. #J-18808-Ljbffr The Goldman Sachs Group