Director / Vice President – Quantitative Strategies (Equities Prime Financing)

Bank of America•New York, NY

22h•Onsite

About The Position

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 deliver quantitative analytics and optimisation tools 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.

Requirements

Strong experience in quantitative finance within equities, prime financing, or closely related businesses.
Hands‑on experience building and delivering analytics, optimisation or models that are actively used by trading or financing desks.
Proficiency in modern quantitative and data‑analysis environments (e.g. Python, SQL).
Hands-on experience with financial resources and calculations e.g. Liquidity risk (LCR), Funding (NSFR), balance sheet, GSIB, RWAs.
Proven ability to translate complex quantitative mechanics into business‑usable tools and narratives.
Experience working closely with trading, finance, and technology in a production context.
Clear, concise communication style with a focus on outcomes.

Nice To Haves

Advanced degree in a quantitative discipline or equivalent professional experience.
Experience with scenario analysis, optimisation problems, or decision‑support tooling under real‑world constraints.
Comfortable operating in fast‑moving environments where intraday decisions matter.

Responsibilities

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.
Explain complex mechanics: help articulate why financial constraints bind, enabling scenario analysis and clear attribution that business users can rely on.
Drive optimisation outcomes: suggest and produce actionable signals.
Business partnership: Work directly with trading and FRM stakeholders to ensure quantitative outputs are fit for purpose and inform real pricing, structuring, and intraday decisions.
Technology alignment: Partner with technology teams to ensure models are scalable, well‑structured, and suitable for controlled production environments.
Execution discipline: Deliver work in phases with tangible business value, balancing speed, correctness, and robustness.
Governance adherence: Ensure models and analytics meet internal control, documentation, and validation standards appropriate to their usage.