Vp, Systematic Portfolio Trading Quant

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

This role focuses on quantitative analytics and modeling for credit trading desks at Bank of America, involving bond portfolio optimization, systematic pricing, and ETF trading support. It requires developing and deploying systematic strategies and tools, analyzing large datasets, and producing technical documentation. The role emphasizes Python for research and production, with a strong understanding of credit bonds and portfolio trading mechanics.

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
  • practical hedging
  • execution considerations

Nice to have

  • C++

What the JD emphasized

  • quantitative analytics
  • modeling projects
  • financial markets
  • credit trading
  • portfolio optimization
  • systematic pricing
  • ETF create/redeem
  • hedging
  • execution support
  • large datasets
  • Python
  • structured SDLC
  • credit bonds
  • portfolio trading mechanics
  • optimization
  • risk
  • transaction-cost-aware decisioning
  • ETF primary workflows
  • practical hedging
  • execution considerations