Quantitative Strats Internship β€” London Trading & Markets

Quantitative Strats Internship β€” London Trading & Markets

Internship 22500 - 27500 Β£ / year (est.) No working from home possible
Goldman Sachs Group, Inc.

At a Glance

  • Tasks: Dive into quantitative modelling and financial markets while working on real projects.
  • Company: Join Goldman Sachs, a leading global investment banking firm.
  • Benefits: Gain invaluable experience, mentorship, and networking opportunities in finance.
  • Other info: Apply to multiple roles in one go and explore various opportunities.
  • Why this job: Kickstart your career with hands-on training from industry experts in a dynamic environment.
  • Qualifications: Strong analytical skills and a passion for finance and quantitative analysis.

The predicted salary is between 22500 - 27500 Β£ per year.

Goldman Sachs is offering an Off-Cycle Internship in London within the EMEA region for FICC and Equities (Sales and Trading) Quantitative Strats. This program provides training and real responsibilities alongside experienced colleagues, with applicants able to apply to multiple opportunities in a single recruiting year.

As a participant you will gain exposure to quantitative modeling, financial markets, and state-of-the-art methods in quantitative finance, under the guidance of industry experts.

Quantitative Strats Internship β€” London Trading & Markets employer: Goldman Sachs Group, Inc.

Goldman Sachs is an exceptional employer, offering a dynamic work environment in Birmingham that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, a strong emphasis on work-life balance, and the chance to be part of a leading global financial institution that values diversity and inclusion.

Goldman Sachs Group, Inc.

Contact Details:

Goldman Sachs Group, Inc. Recruitment Team

We think you need these skills to ace Quantitative Strats Internship β€” London Trading & Markets

Quantitative Modeling
Financial Markets Knowledge
Statistical Analysis
Data Analysis
Programming Skills
Mathematical Proficiency
Problem-Solving Skills