Asset & Wealth Management - Multi Asset Solutions (MAS) Digital Strats - Analyst - New York
About The Position
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 advanced 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’ll Do As an Analyst in our New York office, you will: 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 Utilize Machine Learning techniques to derive actionable insights from client and CRM datasets 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
Requirements
- 0-3 years of experience in quantitative or technical fields, with demonstrated interest in financial technology
- Technical degree in Computer Science, Mathematics, Engineering, or a related field
- Proficiency in programming languages such as TypeScript, JavaScript, and/or Python
- Familiarity with databases (SQL, MongoDB), data caching, and workflow orchestration concepts
- 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
Responsibilities
- 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
- Utilize Machine Learning techniques to derive actionable insights from client and CRM datasets
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
