Strat

Bank of America•New York, NY

1d•Onsite

About The Position

This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Requirements

Academic background at undergraduate or, ideally, Master’s/PhD level in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Computer Science, or similar analytical fields), or equivalent relevant work experience.
Experience working closely with Trading, Finance, and Technology in a production environment.
Comfortable operating in fast‑moving environments where intraday decisions matter.
Proven ability to translate complex quantitative concepts into business‑usable tools, insights, and narratives.
Clear, concise communication style with a strong focus on outcomes.
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling

Nice To Haves

Ideal candidate has exposure to the mortgage sector, including Agency RMBS pricing and Agency CMO products, with a strong understanding of mortgage–rates interactions.

Responsibilities

Mortgage Desk Quant / Strats role supporting the Mortgage Trading desk.
Strong expertise in pricing and risk of interest rate products, including swaps, Treasuries, swaptions, options, caps, and floors.
Hands-on experience with IR curve construction (SOFR, Treasury), IR volatility surfaces, and simulation-based Monte Carlo models (e.g., BGM).
Strong Python programming skills to build desk-facing pricing, risk, automation, and analytics tools.
Work closely with mortgage traders on daily valuation, risk analysis, model enhancements, and trade support.
Generate required documentation and testing to support model risk management, ongoing model review, and validation.
Collaborative working style with the ability to partner effectively with Technology, Risk, and other support teams.
Take ownership of model design decisions and act as a key quantitative liaison between Trading, Risk, and Technology.