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Quantitative Strategist, Global Banking & Markets, Commodities Trading - Vice President

Job in New York, New York County, New York, 10261, USA
Listing for: Goldman Sachs
Full Time position
Listed on 2026-07-01
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

What We Do

Our quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with bankers, traders and portfolio managers across the firm, their invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success in global financial markets. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.

Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts across the firm to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.

An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.

How You Will Fulfill Your Potential
  • Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte‑Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation measurements.
  • Exposure to machine learning and data science, and applications in finance.
  • Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources.
  • Engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs.
  • Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc.
  • Autonomously design and write solutions to help our stakeholders deliver for the firm’s clients.
  • You’ll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders.
  • Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility.
Who We Look For
  • PhD or Masters in applicable field such as Computer Science, Mathematics, Physics, Engineering, Computational Finance, Quantitative Finance.
  • Strong programming skills and experience with an object oriented programming language (such as C++, Python, Java).
  • Strong analytical and problem solving skills using math, statistics, and programming.
  • 5+ years of work experience is preferable.
  • Prior experience in Finance industry is preferable.
  • Work experience in data analysis is preferable.
  • Basic fixed income & bond mathematics knowledge is preferable.
  • Experience in development of models for bespoke financial products is preferable.
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