Vp/dir, Mortgage Desk Quant/strat

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

This role is for a Quantitative Analyst/Strategist supporting a Mortgage Trading desk at Bank of America. The responsibilities include developing and implementing quantitative models for pricing and risk management of interest rate products, building analytics tools using Python, and collaborating with traders, technology, and risk teams. The role requires expertise in interest rate derivatives, curve construction, volatility surfaces, Monte Carlo simulations, and mortgage sector knowledge. It also involves model documentation, testing, and ensuring compliance with model risk management standards.

What you'd actually do

  1. Mortgage Desk Quant / Strats role supporting the Mortgage Trading desk.
  2. Strong expertise in pricing and risk of interest rate products, including swaps, Treasuries, swaptions, options, caps, and floors.
  3. Hands-on experience with IR curve construction (SOFR, Treasury), IR volatility surfaces, and simulation-based Monte Carlo models (e.g., BGM).
  4. Strong Python programming skills to build desk-facing pricing, risk, automation, and analytics tools.
  5. Work closely with mortgage traders on daily valuation, risk analysis, model enhancements, and trade support.

Skills

Required

  • Quantitative analytics
  • Complex modeling
  • Pricing and risk of interest rate products
  • IR curve construction
  • Volatility surfaces
  • Monte Carlo models
  • Python programming
  • Mortgage sector knowledge
  • Agency RMBS pricing
  • Agency CMO products
  • Model risk management
  • Model review
  • Model validation
  • Critical Thinking
  • Quantitative Development
  • Risk Analytics
  • Risk Modeling
  • PhD or Master’s degree in a quantitative discipline or equivalent work experience
  • Experience working closely with Trading, Finance, and Technology in a production environment
  • Ability to translate complex quantitative concepts into business-usable tools, insights, and narratives
  • Clear, concise communication style

Nice to have

  • Academic background at undergraduate or, ideally, Master’s/PhD level in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Computer Science, or similar analytical fields), or equivalent relevant work experience.
  • Comfortable operating in fast‑moving environments where intraday decisions matter.
  • strong focus on outcomes.

What the JD emphasized

  • Strong expertise in pricing and risk of interest rate products
  • Hands-on experience with IR curve construction
  • simulation-based Monte Carlo models
  • Strong Python programming skills
  • exposure to the mortgage sector
  • strong understanding of mortgage–rates interactions
  • model risk management
  • ongoing model review
  • validation
  • Quantitative Development
  • Risk Analytics
  • Risk Modeling
  • quantitative discipline
  • relevant work experience
  • production environment
  • intraday decisions matter
  • translate complex quantitative concepts into business‑usable tools, insights, and narratives
  • Clear, concise communication style
  • strong focus on outcomes