Quantitative Analyst / AI engineer Central Modelling & Solutions

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

 

Job Description:

We are seeking an AI specialist to expand the adoption of generative AI across CMS. You will apply cutting‑edge approaches, including large language models (LLMs) and related methods, to integrate and orchestrate large datasets and analytics libraries using agent‑based frameworks, as well as explore other use cases of AI to impact the business. The role involves direct engagement with end‑users and close collaboration with AI‑focused colleagues across the wider quant organisation.

The Team:
The Quantitative Strategies and Data Group (QSDG) is a global quantitative group supporting Global Banking and Markets (GBAM). Within QSDG, the Central Modelling and Solutions (CMS) team develops models and tools for the trading desks responsible for pricing and risk-managing XVA and those responsible for analysing and optimizing financial resources (collateral, funding costs, capital, liquidity and balance sheet). We are a global team with a presence in EMEA and the US, covering all asset classes.

Responsibilities:

• Apply generative AI technologies to CMS use cases, in a front office environment alongside quant colleagues and traders.
• Drive adoption of best practices for implementing agent‑based systems within the CMS quant team.
• Stay up to date with developments in AI, in collaboration with other AI specialists within the wider quant organisation.

What We Are Looking For:

• Very strong technical skills across statistics, AI and Python programming.
• Experience with LLMs, agent‑based systems and machine learning.
• Derivatives and quant finance experience is not required but will be an advantage.
• Strong appetite for picking up business knowledge and core quantitative finance concepts.
• Educated to Masters, PhD or equivalent level in a quantitative subject (Maths, Statistics, Physics, Engineering or Comp Sci).

Skills:

• Curiosity and a commitment to exploring novel approaches in a fast‑moving AI landscape.
• Ability to communicate complex technical topics clearly to non‑technical audiences.