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Asset & Wealth Management-Quantitative Engineer-Analyst-New York

Goldman Sachs

Goldman Sachs

IT, Accounting & Finance
New York, NY, USA
Posted on Thursday, June 6, 2024

Job Description

Asset & Wealth Management –Analyst Quantitative Strategist in PWM Portfolio Management

Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will use your training in mathematics, programming, and logical thinking to construct quantitative models that drive our success in global financial markets. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.


As a strategist on our portfolio management team within our premier Goldman Sachs Private Wealth Management business, you will collaborate closely with portfolio managers and marketers to combine quantitative techniques and industry knowledge to help design and refine investment strategies tailored for our PWM clients.

Responsibilities include:

  • Collaborating on the design of new and existing strategies to address clients’ investment goals
  • Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior management and portfolio managers
  • Building and maintaining infrastructure of Strategists’ analytical systems

About Goldman Sachs PWM

Goldman Sachs Private Wealth Management (PWM) is a world-class provider of wealth management solutions for high-net-worth individuals, their families, and foundations. Our PWM advisors help clients manage their financial wealth including providing access to innovating investment ideas and opportunities, developing customized investment strategies, and offering a full array of wealth management services.


  • Bachelor or Masters in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering
  • 1-3 years of experience in the job offered or related quantitative financial modeling and software development position
  • Programming and mathematical skills are required
  • Interest and knowledge of the financial markets
  • Intelligence, creativity, and problem-solving skills
  • Great communication skills (written and verbal)
  • A self-starter, should have ability to work independently as well as thrive in a team environment


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 GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2021. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Salary Range
The expected base salary for this New York, New York, United States-based position is $110000-$130000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

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.