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Global Markets Data Science Apprenticeship

Job in London, Greater London, EC1A, England, UK
Listing for: Best Apprenticeships
Apprenticeship/Internship position
Listed on 2026-01-10
Job specializations:
  • Software Development
    Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 40000 - 60000 GBP Yearly GBP 40000.00 60000.00 YEAR
Job Description & How to Apply Below
Position: Global Markets Data Science Apprenticeship 2026

Our Apprentice programme starts in September 2026, you will join our Quantitative Strategies and Data Group, within Global Markets, working in a full‑time role whilst studying with one of our trusted learning providers.

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands‑on experience.

What you’ll do at work

You will spend most of your time working alongside experienced colleagues, learning relevant and valuable skills, and contributing to exciting projects whilst also following an established apprenticeship programme, graduating after three years with a BSc (Hons) in Data Science.

The Team

Quantitative Strategies and Data Group (QSDG) uses models, data, and analytics to develop and deliver impactful solutions to sales and trading teams across Global Markets. We collaborate across business lines and are guided by the highest standards of governance, ethics and scientific rigor. In your role you will contribute directly to the firm by helping us serve our clients and manage risk.

You will be on active projects in the fast‑paced environment of the trading floor.

Responsibilities

As an apprentice, your key tasks and responsibilities may include but are not limited to:

  • Applying statistical and data science techniques to analyse market dynamics and client behaviour.
  • Participate in the development of models and strategies that the business use to make trading decisions.
  • Studying, implementing, and improving electronic trading algorithms.
  • Building signals and tools to improve the efficiency and profitability of the trading business.
  • Contribute to the development of pricing models to understand and manage the risks of complex derivative products
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