VP, Systematic Portfolio Trading Quant

Bank of America•New York, NY

1d•Onsite

About The Position

This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products. This role delivers quantitative analytics and systematic tooling for the credit trading desks, with primary focus on bond portfolio optimization, systematic pricing for bonds and portfolio trades, and ETF create/redeem proposals and execution support. The role partners directly with traders on live risk transfer, hedging, and execution, and works with Technology to deploy robust, scalable analytics into production. The position sits in the Quantitative Strategies and Data Group (QSDG) supporting credit businesses (IG/HY bonds, portfolio trading, FICC ETFs). The team builds and maintains desk-facing tools used in live workflows across quoting, optimization, and systematic trading.

Requirements

Strong Python for research and production desk tooling; familiarity with a structured SDLC (testing, CI/CD, code reviews, release discipline).
Solid understanding of credit bonds and portfolio trading mechanics; comfort with optimization, risk, and transaction-cost-aware decisioning.
Familiarity with ETF primary workflows (create/redeem baskets) and practical hedging/execution considerations.

Nice To Haves

C++ is a nice-to-have for performance-critical components, not required.

Responsibilities

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