Quantitative Analyst - AI Core Quant

can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Location Overview:

Our London office is based just a stone's throw from the magnificent St. Paul's Cathedral on bustling King Edward Street. Here you'll find modern workspaces and a state-of-the-art auditorium space. In addition, we're proud to host an onsite restaurant that shares our commitment to sustainability by providing delicious seasonal menus which have been created with the planet in mind. Make sure to take time for yourself and head up to our rooftop terrace and take in the spectacular views across London. Finally, your physical wellness is well-catered for with our onsite gym facilities and medical centre.

The Team:

This is a new and rapidly growing global team. Its vision is to provide the models, tools, and technology for the rest of the firm's technical talent to revolutionise Bank of America. The team is extremely high profile: daily contact with head quants, and updates weekly to the head of platform and business co-presidents.

Role 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 and the wider firm.

• Researching and testing new models/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:

• Extremely strong technical skills, including statistics, AI, and python programming.

• Experience with machine learning, LLMs, and agents.

• Experience with quant finance and financial markets.

• Curiosity into the latest research and cutting-edge AI/programming packages.

Skills:

• Creativity. I.e., the potential to come up with novel ideas (for the business or publication).

• Ability to communicate technical topics to a non-technical audience.