Associate, Mortgage Quant

Bank of Montreal•New York, NY

2d•Onsite

About The Position

Join a front-office quantitative team at the intersection of trading, technology, and risk management. As an MFL Mortgage Quant, you will develop the models, analytics, and tools that directly support pricing, hedging, and risk management for BMO's mortgage and asset-backed trading businesses. This is a highly collaborative role offering direct interaction with traders, senior management, and risk partners, with the opportunity to see your research and engineering work drive real business decisions and market outcomes.

Requirements

Advanced degree in Mathematics, Physics, Statistics, Engineering, Computer Science, Financial Engineering, or a related quantitative discipline.
Strong programming skills in C#, C++ and/or Python.
Excellent analytical and problem-solving abilities.
Strong communication skills and the ability to explain complex ideas to technical and non-technical audiences.

Nice To Haves

Experience with mortgage, fixed income, or asset-backed products is an asset, but not required.

Responsibilities

Research, develop, and implement quantitative models and computational methods for pricing and risk management.
Build and enhance the quantitative infrastructure used by traders and risk managers across the mortgage platform.
Improve model performance through optimization, profiling, and innovative analytical approaches.
Partner directly with traders to deliver pricing tools, risk analytics, and actionable insights.
Analyze market and trade data to support research, strategy, and business decision-making.
Collaborate with Risk, Valuation Control, and other stakeholders to ensure robust model governance and usage.
Contribute to discussions on pricing, hedging, risk measurement, and new product development.