VP, AI Quant Strategist - Credit, Commodities and Capital Markets

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: This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

We are looking for an AI Quant to join our team to help bring modern AI tools into the firm’s markets and banking business. In this role, you will design and industrialize LLM‑ and agent‑based tools, and work with team members based in New York, London, Paris and Singapore to drive AI adoption across Credit, Commodities and Capital Markets business.

Responsibilities:

• Design, prototype, and deploy LLM‑powered tools and agentic workflows for sales, trading, and banking.
• Help integrate AI into existing analytics and data workflows.
• Contribute to the development of reusable AI frameworks and standards that accelerate firm‑wide adoption of AI.
• Partner with product and domain specialist teams to test new AI ideas and turn them into real tools that the business can use.
• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
• Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Skills:

• Experience with LLMs, agentic frameworks and modern AI tools.
• Strong programming skills and comfortable building production‑ready tools.
• Ability to collaborate effectively across global teams and strong communication skills.
• Understanding of financial products and markets, with an interest in applying AI to real commercial workflows.

Minimum Education Requirement: Master’s degree in related field or equivalent work experience

Shift: 1st shift (United States of America)

Hours Per Week: 40