Quantitative Desk Strategist - London: Trade & Modelling

Quantitative Desk Strategist - London: Trade & Modelling

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Goldman Sachs Bank AG

At a Glance

  • Tasks: Apply advanced maths and coding to price derivatives and identify market opportunities.
  • Company: Join Goldman Sachs, a leading global investment banking firm.
  • Benefits: Competitive salary, dynamic work environment, and career advancement opportunities.
  • Other info: Collaborative team culture with exposure to trading, sales, and research.
  • Why this job: Make an impact on a fast-paced trading floor with cutting-edge financial strategies.
  • Qualifications: Degree in Maths, Computer Science, Physics, or Engineering; quick learner of financial concepts.

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

Goldman Sachs’ Strats team in London is seeking an Associate for the Global Banking Markets desk.

The role focuses on applying advanced mathematics and computational techniques to price derivatives, model risk, and identify market opportunities on a fast-paced trading floor.

We welcome candidates with degrees in Mathematics, Computer Science, Physics, or Engineering who can quickly learn financial concepts and contribute across trading, sales, and research.

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Quantitative Desk Strategist - London: Trade & Modelling employer: Goldman Sachs Bank AG

Goldman Sachs Bank AG is an exceptional employer, offering a dynamic and inclusive work environment that fosters professional growth and development. As a DCM Associate in London, you will have the opportunity to engage in high-stakes financing transactions while building valuable relationships in the private equity market. With a strong emphasis on collaboration and innovation, employees are encouraged to thrive and excel in their careers.

Goldman Sachs Bank AG

Contact Details:

Goldman Sachs Bank AG Recruitment Team

We think you need these skills to ace Quantitative Desk Strategist - London: Trade & Modelling

Advanced Mathematics
Computational Techniques
Derivatives Pricing
Risk Modelling
Market Analysis
Financial Concepts
Trading Strategies