CIMD - PWM Data Office

Location(s) US-NY-New York
Job ID
Schedule Type
Full Time
Vice President/Executive Director
Quantitative Engineer
Consumer and Investment Management Division
Business Unit
PWM Strats
Employment Type



The Consumer and Investment Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and our Consumer business (Marcus by Goldman Sachs). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. CIMD partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.



Goldman Sachs Private Wealth Management (PWM) specializes in creating comprehensive wealth management plans for high net worth individuals and families, as well as select institutions, including foundations and endowments. PWM Teams work one-on-one with clients to advise and deliver customized strategies drawn from our deep investment experience, diverse wealth management capabilities and global reach. Our Private Wealth Advisors (PWAs) deliver an unparalleled investment platform inclusive of the full product and service offerings of Goldman Sachs and beyond, which may include tax and estate planning, philanthropic planning and private banking and lending services. As client needs evolve, this close relationship allows the team to offer complementary services and new opportunities by leveraging the resources of Goldman Sachs and beyond


Your Impact

The PWM Data Office is looking for a Strategist to join the team. As a Strategist in the PWM Data Office, you will use your technical and industry knowledge to help our wealth management businesses manage and use data more effectively. Projects will span a variety of data domains and technologies and entail extensive interaction with portfolio managers, risk managers, marketers, salespeople and senior management.



  • Designing robust data models for core datasets, including Golden Source identification and normalization and enrichment logic definition
  • Engaging with Desks/Application owners to ensure best practices for their own data sets and that appropriate data contracts exist between producers and consumers
  • Establishing data control and governance frameworks that ensure consistently high-quality data output for clients, teams, and other internal consumers
  • Identifying commercial opportunities and extracting data-driven insights
  • Collaborating with the data engineering team to define and implement data infrastructure


Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.




  • Quantitative orientation with programming skills and/or data science/modelling background
  • Communications skills are essential.
  • Intelligence, creativity, and problem-solving skills
  • A self-starter, should have ability to work independently as well as thrive in a team environment 
  • Familiarity with and interest in a financial field or wealth management.



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

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