Director / Vice President – Quantitative Strategies (Equities Prime Financing)
<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>Director / Vice President – Quantitative Strategies (Equities Prime Financing)</b></p><p><b>Location:</b> New York, NY<br><b>Business Area:</b> Equities Prime Financing</p><div></div><p><b>Role Overview</b></p><p>We are seeking an experienced contributor to join the New York-based Quantitative Strategies team within Bank of America’s Equities Prime Financing business to help our focus on Inventory and Financial Resource Management. This team is responsible for developing analytics and models that support balance sheet, liquidity and capital management, suggest actions to optimize financial resources, and deliver client-focused solutions. The successful candidate will help <b>deliver quantitative analytics and optimisation tools</b> that improve how financially constrained resources are understood, explained, and used in business decision‑making. The role works closely with trading, sales, financial resource management (FRM) teams, and technology, and requires strong execution discipline coupled with commercial awareness.</p><div></div><p><b>Primary Focus</b></p><ul><li><b>Analytics: </b>Contribute-to/lead the Design, build, and maintenance of models, calculators, and analytical frameworks that provide transparency into resource usage and its drivers across Equities Prime Financing.</li><li><b>Explain complex mechanics: </b>help articulate why financial constraints bind, enabling scenario analysis and clear attribution that business users can rely on.</li><li><b>Drive optimisation outcomes: </b>suggest and produce actionable signals.</li><li><b>Business partnership: </b>Work directly with trading and FRM stakeholders to ensure quantitative outputs are fit for purpose and inform real pricing, structuring, and intraday decisions.</li><li><b>Technology alignment: </b>Partner with technology teams to ensure models are scalable, well‑structured, and suitable for controlled production environments.</li><li><b>Execution discipline: </b>Deliver work in phases with tangible business value, balancing speed, correctness, and robustness.</li><li><b>Governance adherence: </b>Ensure models and analytics meet internal control, documentation, and validation standards appropriate to their usage.</li></ul><div></div><p><b>Required Qualifications</b></p><ul><li>Strong experience in quantitative finance within equities, prime financing, or closely related businesses.</li><li>Hands‑on experience building and delivering analytics, optimisation or models that are actively used by trading or financing desks.</li><li>Proficiency in modern quantitative and data‑analysis environments (e.g. Python, SQL).</li><li>Hands-on experience with financial resources and calculations e.g. Liquidity risk (LCR), Funding (NSFR), balance sheet, GSIB, RWAs.</li><li>Proven ability to translate complex quantitative mechanics into business‑usable tools and narratives.</li><li>Experience working closely with trading, finance, and technology in a production context.</li><li>Clear, concise communication style with a focus on outcomes.</li></ul><div></div><p><b>Preferred Skills</b></p><ul><li>Advanced degree in a quantitative discipline or equivalent professional experience.</li><li>Experience with scenario analysis, optimisation problems, or decision‑support tooling under real‑world constraints.</li><li>Comfortable operating in fast‑moving environments where intraday decisions matter.</li></ul><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>
|
