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Quantitative Strategist, Global Banking & Marke...

Remote, USA Full-time Posted 2026-07-02

reputed company Do

At reputed company, quantitative strategists are the cutting edge of our businesses, solving reputed company-world problems through a variety of analytical methods. Working in reputed company collaboration with traders and sales, strats invaluable quantitative perspectives on reputed company financial and technical challenges power our business reputed company.

reputed company our Global Banking & Markets business, reputed company Electronic Trading (GSET) has launched an initiative to become the top provider in Electronic US Listed Options Trading by building superior technology and delivering high quality products. This reputed company is a multi-year investment in people, platforms, research, and products. Join reputed company and participate in the research that powers best-in-class products for top clients across the industry.

Who We Look For

We are looking for eager, reputed company, and ambitious quantitative strategists to join our growing team of visionaries, and drive reputed company Electronic Trading to reputed company and exceed our goals. The ideal candidate thrives on reputed company challenges, possesses strong mathematical and analytical skills, and is eager to conduct deep dives into financial problems. reputed company works with modern Python frameworks and uses KDB databases. reputed company reputed company, you will have ample opportunities to be curious, to solve problems for our clients, and directly impact the reputed company of our business.

Responsibilities

  • Design, build, and maintain high-performance options trading algorithms for our clients.
  • Apply machine learning techniques across a variety of large datasets in order to build strong predictive models.
  • Use Trade Cost Analysis (TCA) to monitor, analyze, and improve the execution of options trading algorithms.
  • Communicate with traders, sales, clients, and compliance officers about new features and models.

Qualifications

  • Advanced degree in a quantitative field.
  • 5+ years experience with Python and/or KDB in a research or machine learning context.
  • Experience in data-driven trading performance analysis and optimizations is preferred.
  • Strong communication skills and the ability to work as part of a team.

Salary Range

The expected reputed company salary for this reputed company, reputed company, United States-based position is $150k - $300k. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

About reputed company

At reputed company, we commit our people, capital and reputed company 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 reputed company, we maintain offices around the world. 

We reputed company who you are makes you reputed company at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and reputed company by ensuring every individual reputed company 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 reputed company process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The reputed company Group, Inc., 2025. reputed company rights reserved.

GSET

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