Associate, Quantitative Modelling

BMO•Toronto, ON

2d•Onsite

About The Position

The MFL (Mathematical Finance Library) Interest Rate Quant is responsible for the entire spectrum of quantitative, analytical, technical, and development activities for the interest rate trading desks. The mandate is to provide traders, marketers, BMO CM senior management and our external control groups (Risk Reporting, Risk Oversight, Valuation Product Control, etc.) with the models, tools, analytics, reports, market data and information to effectively price, execute and hedge new transactions and to understand, monitor and manage existing risk.

Requirements

Advanced university degree in a technical field (mathematics, physics, statistics, engineering, computer science, etc.)
Experience in interest rate modeling (with a focus on products with optionality), pricing methodology, best practices, market data sources etc. is desired.
The position is for an Associate but may consider an upgrade to VP for exceptional or well-qualified candidate (i.e. 0-4 years of relevant experience).
Software development experience (.NET, Python).
Knowledge of Excel, including scripting and efficient spreadsheet design.
Strong technical writing ability.
Strong communication skills, with the ability to deal effectively with a wide range of colleagues. This includes other technical professionals, traders, marketers, senior management, back office, and risk management.

Responsibilities

Developing new mathematical and computational methods for pricing deals and managing risk and integrating models into the MFL library and other FO applications.
Maintaining existing suite of interest rate models.
Helping traders in daily pricing and risk management.
Interacting with the external control groups outside of FO and facilitating their understanding and usage of FO models.
Aggregating, organizing and analyzing market and trade data to facilitate a wide range of reporting, from high-level business overviews down to trade-level details.
Engaging in discussions with traders, senior management, and risk managers regarding deal modeling and pricing, hedging, risk measurement and risk management.
Profiling and investigation of new models/approaches to improve model performance.