Global Markets Data Science Apprenticeship 2026 - London

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. We are devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organisation. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Upon completion, there are a number of careers which an apprentice can choose depending upon their interest.

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.

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.

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• 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.
  

Note: Monday to Friday between 9am to 5pm.