Vp, Cross Asset Quant Developer

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

VP, Cross Asset Quant Developer at Bank of America responsible for quantitative analytics and modeling projects, developing new models, analytic processes, or systems approaches, and working with Technology staff in the design of systems to run models. The role involves writing and debugging code in Python on the bank's strategic platform, Quartz, to explain risk and PnL of the Global Markets business.

What you'd actually do

  1. You will be assisting the Cross Assets Strats team as part of the Strategic Risk and PnL project to re-factor and redesign our market model code.
  2. This project seeks to explain the risk and PnL of the Global Markets business in a strategic fashion
  3. Working as part of a team of 8 people, you will be writing and debugging code in Python, running within Quartz, the in-house bank platform.
  4. On-going learning about and debugging existing market model code used for calculating risk and PnL, simplifying and optimizing it to perform more efficiently.

Skills

Required

  • Python
  • C++
  • Java
  • Lisp
  • quantitative analytics
  • modeling
  • algorithm design
  • mathematical abilities
  • data analysis
  • financial knowledge

Nice to have

  • functional programming concepts

What the JD emphasized

  • Programming ability is most highly prized
  • Strong programming skills
  • Proficiency in Python, C++, Java, Lisp, or similar programming languages