VP, Systematic Portfolio Trading Quant
<div class="job-description-body__internal job__external js-job-description-body-internal"><p style="text-align: left;"><b>Job Description:</b></p><p style="text-align: inherit;"></p><p style="text-align: inherit;"></p><p>At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.<br><br>Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.<br><br>Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.<br><br>At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!<br><br> </p><p><b>Job Description:</b><br>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.</p><p></p><p>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.</p><p>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.</p><p></p><p><b>Responsibilities:</b></p><ul><li>Build and enhance bond portfolio optimization frameworks for client and desk workflows (constraints, liquidity, risk, transaction costs), including rapid re-optimization and scenario analysis.</li><li>Develop systematic pricing methods and trader tools that generate fast, explainable indicative ranges for bonds and portfolio trades.</li><li>Create ETF create/redeem proposals (basket construction/optimization and hedging recommendations) and support the desk through live trading, monitoring, and post-trade diagnostics.</li><li>Research, prototype, and productionize systematic portfolio trading strategies and algorithms (automation, hedge selection, execution scheduling, and controls).</li><li>Analyze large datasets (quotes, trades, holdings, constituents, liquidity) and distill results into improvements for tools, strategies, and trading outcomes.</li><li>Produce clear technical documentation and support sound operational practices for production tooling.</li></ul><p></p><p><b>Skills:</b></p><ul><li>Strong Python for research and production desk tooling; familiarity with a structured SDLC (testing, CI/CD, code reviews, release discipline).</li><li>Solid understanding of credit bonds and portfolio trading mechanics; comfort with optimization, risk, and transaction-cost-aware decisioning.</li><li>Familiarity with ETF primary workflows (create/redeem baskets) and practical hedging/execution considerations.</li><li>C++ is a nice-to-have for performance-critical components, not required.</li></ul><p></p><p>Minimum Education Requirement: PhD or Master’s degree in a related field or equivalent work experience.</p><p style="text-align: inherit;"></p><p style="text-align: inherit;"></p><p style="text-align: left;"><b>Shift:</b></p>1st shift (United States of America)<p style="text-align: inherit;"></p><p style="text-align: inherit;"></p><p style="text-align: left;"><b>Hours Per Week: </b></p>40<p style="text-align: inherit;"></p><p style="text-align: inherit;"></p><p style="text-align: left;"><b></b></p></div>
|
