FICC Quant Researcher: Market Making & ML, ASO/VP, London in City of Westminster

FICC Quant Researcher: Market Making & ML, ASO/VP, London in City of Westminster

City of Westminster Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Goldman Sachs, Inc.

At a Glance

  • Tasks: Drive market making and hedge strategies using advanced statistics and machine learning.
  • Company: Join Goldman Sachs, a leading global investment banking firm.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Dynamic trading environment with excellent career advancement potential.
  • Why this job: Make an impact in trading with cutting-edge technology and innovative strategies.
  • Qualifications: Strong background in quantitative research and machine learning skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Goldman Sachs, Inc. in London is seeking a FICC Quantitative Researcher at Associate/VP level to drive market making and hedge strategies across IR, FX, Credit and Commodities.

The role combines advanced statistics, machine learning, and real-time risk decisions in a trading environment.

You will work with traders and engineers to build models, calibrate AI systems, and develop scalable pricing and risk tools that support global trading across venues.

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FICC Quant Researcher: Market Making & ML, ASO/VP, London in City of Westminster employer: Goldman Sachs, Inc.

Goldman Sachs is an exceptional employer, renowned for its commitment to diversity and inclusion, making it a vibrant workplace for all. With a strong focus on employee growth, the company offers extensive career development opportunities alongside competitive benefits, all within a dynamic environment that encourages innovation in cloud technologies and security practices.

Goldman Sachs, Inc.

Contact Details:

Goldman Sachs, Inc. Recruitment Team

We think you need these skills to ace FICC Quant Researcher: Market Making & ML, ASO/VP, London in City of Westminster

Advanced Statistics
Machine Learning
Real-Time Risk Decision Making
Model Building
AI System Calibration
Scalable Pricing Tools Development
Risk Tool Development