Vp, Systematic Portfolio Trading Quant

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

This role is for a Quantitative Analyst (Quant) at Bank of America, focusing on systematic portfolio trading for credit desks. Responsibilities include developing and enhancing bond portfolio optimization frameworks, systematic pricing methods, ETF creation/redemption proposals, and researching/producing systematic trading strategies. The role requires strong Python skills, understanding of credit bonds and portfolio trading, and experience with optimization and risk management. C++ is a plus. The role is in the Quantitative Strategies and Data Group (QSDG) supporting credit businesses.

What you'd actually do

  1. Build and enhance bond portfolio optimization frameworks for client and desk workflows (constraints, liquidity, risk, transaction costs), including rapid re-optimization and scenario analysis.
  2. Develop systematic pricing methods and trader tools that generate fast, explainable indicative ranges for bonds and portfolio trades.
  3. Create ETF create/redeem proposals (basket construction/optimization and hedging recommendations) and support the desk through live trading, monitoring, and post-trade diagnostics.
  4. Research, prototype, and productionize systematic portfolio trading strategies and algorithms (automation, hedge selection, execution scheduling, and controls).
  5. Analyze large datasets (quotes, trades, holdings, constituents, liquidity) and distill results into improvements for tools, strategies, and trading outcomes.

Skills

Required

  • Python
  • structured SDLC
  • credit bonds
  • portfolio trading mechanics
  • optimization
  • risk
  • transaction-cost-aware decisioning
  • ETF primary workflows

Nice to have

  • C++

What the JD emphasized

  • quantitative analytics
  • modeling projects
  • financial markets
  • credit trading
  • portfolio optimization
  • systematic pricing
  • ETF create/redeem
  • systematic portfolio trading strategies