Vp, Quant Analyst - Central Modelling Solutions Team

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

VP-level Quant Analyst role focused on developing and implementing quantitative models, including machine learning models, for XVA trading desks across various asset classes. Requires strong programming skills in Python and C++, and expertise in financial modeling, option pricing, stochastic calculus, and statistics. The role involves front-office pricing, automated hedging, and optimization, with implementation in Python and C++.

What you'd actually do

  1. conducting quantitative analytics and modeling projects for specific business units or risk types.
  2. developing new models, analytic processes, or systems approaches,
  3. creating technical documentation for related activities,
  4. working with Technology staff in the design of systems to run models developed.
  5. Detailed design & development of front office pricing, automated hedging, optimization and machine learning models.

Skills

Required

  • quantitative analytics
  • financial modeling
  • Python
  • C++
  • option pricing
  • stochastic calculus
  • probability
  • statistics
  • numerical analysis

Nice to have

  • familiarity with Equity, Credit, IR, FX and Mortgages
  • C#

What the JD emphasized

  • model design and development implemented in Python and C++
  • machine learning models
  • strong skills in both programming and financial modelling
  • Excellent mathematical skills including a strong grasp of option pricing, stochastic calculus, probability, statistics and numerical analysis.
  • Excellent programming skills in python and, ideally, C++ (or C#).

Other signals

  • quantitative analytics
  • modeling projects
  • developing new models
  • analytic processes
  • machine learning models
  • Python and C++
  • front office pricing
  • automated hedging
  • optimization
  • option pricing
  • stochastic calculus
  • probability
  • statistics
  • numerical analysis