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

Bank of America Bank of America · Banking · New York, NY

This role focuses on designing, prototyping, and deploying LLM-powered tools and agentic workflows for sales, trading, and banking within a financial institution. It involves integrating AI into existing analytics, developing reusable AI frameworks, and partnering with teams to bring AI ideas to production. The role requires experience with LLMs, agentic frameworks, modern AI tools, and building production-ready tools, with a strong understanding of financial products and markets.

What you'd actually do

  1. Design, prototype, and deploy LLM‑powered tools and agentic workflows for sales, trading, and banking.
  2. Help integrate AI into existing analytics and data workflows.
  3. Contribute to the development of reusable AI frameworks and standards that accelerate firm‑wide adoption of AI.
  4. Partner with product and domain specialist teams to test new AI ideas and turn them into real tools that the business can use.
  5. 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

Skills

Required

  • 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.

What the JD emphasized

  • production-ready tools
  • LLM‑powered tools
  • agentic workflows

Other signals

  • design and industrialize LLM‑ and agent‑based tools
  • design, prototype, and deploy LLM‑powered tools and agentic workflows
  • integrate AI into existing analytics and data workflows
  • develop reusable AI frameworks and standards
  • partner with product and domain specialist teams to test new AI ideas and turn them into real tools