Asset & Wealth Management, MAS, PM Infrastructure and AI Data Strategy Associate
Quick summary
- Work type
- On-site
- Location
- New York, NY
- Salary
- $100,000–$160,000 / yr
- Posted
- today
- Nearby
- 99+ roles within 25 mi
Employer
About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has 187 open roles on FindRole.
Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.
Most-posted roles
- Asset & Wealth Management - Software Engineer - Vice President - Dallas 3
- AMD Public-New York-Vice President-Software Engineering 2
- Internal Audit, Technology Auditor-Investment Banking, Associate 2
- Senior Software Engineer, Global Banking & Markets, Front Office Technology 2
- AI Engineering, Vice President (New York, New Jersey, Toronto) 1
At a glance
TL;DR · Asset & Wealth Management, MAS, PM Infrastructure and AI Data Strategy Associate
As a member of the Multi-Asset Solutions Portfolio Management team at Goldman Sachs, you will drive the MAS data strategy and partner with the Head of PM Infrastructure & AI Strategy to build core platform solutions. Your day-to-day involves working closely with Portfolio Managers, Traders, and Risk teams to profile and map positions, risk, performance, and reference data, improving reliability and prototyping scalable AI-enabled automation for investment workflows. You will own MAS’s data strategy across structured and unstructured data, defining requirements and acceptance criteria for PM Infrastructure & AI initiatives, executing rigorous testing, and creating executive-ready reporting. The ideal candidate has 2-4 years of experience in investment management or a related field, with skills in Python scripting, data modeling, and AI/ML concepts. This role is pivotal in shaping how MAS leverages data to enhance investment outcomes and client experiences across public and private markets.
Skills
What you'll do
- Build domain fluency to translate investment workflows into clear data and technology requirements.
- Own MAS data strategy and governance to improve reliability, reuse, and auditability of structured and unstructured data.
- Lead end-to-end data discovery and mapping across business functions to close data gaps.
- Define build-ready requirements for PM Infrastructure & AI initiatives with validation rules and rollout readiness checks.
- Design rigorous testing and output validation for PM Infrastructure & AI builds to ensure performance benchmarks are met.
- Identify high-impact opportunities for data and intelligent automation in PM workflows, partnering daily with key stakeholders.
- Create executive-ready reporting for the Head of PM Infrastructure & AI Strategy on technical progress and risks.
What we're looking for
- Bachelor's degree in a quantitative, technical, or finance-related field.
- 2–4 years of experience in investment management or data-focused roles.
- Solid understanding of data modeling and quality frameworks.
- Experience with Python for data manipulation and analysis.
- Advanced knowledge of AI/ML concepts and their impact on model performance.
- Strong communication skills to document processes and present findings effectively.
- Proactive, self-motivated approach with the ability to manage multiple tasks.