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Vice President, AI Quant Analyst, Quantitative Strategies & Data Group

Bank of America

Bank of America

Software Engineering, IT, Data Science
London, UK · United States · Remote
Posted on Friday, July 5, 2024

Job Description:

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.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re 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 organization.

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!

Job Description:
Due to the emergence of Generative AI, we are looking for a quant analyst to join our new, dedicated AI team within Global Markets. The team is responsive for creating, driving, and implementing technologies related to Large Language Models (LLMs) and their variants. This high-profile role will interface with the wider global quant team, as well as senior representatives from the business

Responsibilities:

  • Implementing Generative AI technologies in Global Markets.
  • Researching and testing new models and methods
  • Creating new ideas for sales and trading.
  • Interface between the global quant team, technology and senior business.
  • Educate sales, trading, and clients on the new technology.

What we are looking for:

  • Excellent technical skills, including statistics, AI and programming.
  • Bachelor's / Master’s degree in related field
  • Experience with machine learning, NLP or LLMs.
  • Experience with quant finance and financial markets.
  • Curiosity into the latest research and cutting-edge AI/programming packages.