Director / Vice President – Quantitative Strategies (equities Prime Financing)

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

This role focuses on developing quantitative analytics and optimization tools for financial resource management within Equities Prime Financing at Bank of America. It involves building and maintaining models, explaining complex financial mechanics, suggesting actionable signals, and partnering with trading, sales, and technology teams to improve decision-making and resource utilization. The role requires strong execution discipline, commercial awareness, and adherence to governance standards.

What you'd actually do

  1. Contribute-to/lead the Design, build, and maintenance of models, calculators, and analytical frameworks that provide transparency into resource usage and its drivers across Equities Prime Financing.
  2. help articulate why financial constraints bind, enabling scenario analysis and clear attribution that business users can rely on.
  3. suggest and produce actionable signals.
  4. Work directly with trading and FRM stakeholders to ensure quantitative outputs are fit for purpose and inform real pricing, structuring, and intraday decisions.
  5. Partner with technology teams to ensure models are scalable, well‑structured, and suitable for controlled production environments.

Skills

Required

  • quantitative finance within equities, prime financing, or closely related businesses
  • building and delivering analytics, optimisation or models
  • Python
  • SQL
  • Liquidity risk (LCR)
  • Funding (NSFR)
  • balance sheet
  • GSIB
  • RWAs
  • translate complex quantitative mechanics into business‑usable tools and narratives
  • working closely with trading, finance, and technology in a production context
  • Clear, concise communication style with a focus on outcomes

Nice to have

  • Advanced degree in a quantitative discipline or equivalent professional experience
  • scenario analysis
  • optimisation problems
  • decision‑support tooling under real‑world constraints
  • operating in fast‑moving environments where intraday decisions matter

What the JD emphasized

  • actively used by trading or financing desks
  • financial resources and calculations
  • quantitative mechanics
  • production context