Asset & Wealth Management - Multi Asset… at Goldman Sachs · New York

Summary: Goldman Sachs is a leading global investment banking, securities and investment management firm. The MAS Digital Strats team is seeking an Analyst to develop and maintain full-stack solutions for portfolio managers and clients, focusing on enhancing user experience and operational efficiency through AI and quantitative models. 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 Required Qualifications: - 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 Required Skills: Programming languages, Quantitative modeling, Machine Learning Important Skills: Databases, DevOps practices Nice-to-Have Skills: Curiosity, communication, Problem-solving Benefits: Discretionary bonus, Competitive benefits and wellness offerings