Manager, Structural Market Risk

BMO U.S.

Manager, Structural Market Risk developing and enhancing quantitative risk models for structural market risk. Collaborating with teams for effective risk management practices at BMO.

Posted 5/9/2026full-timeChicago • California, Illinois, New York, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $88,800 - $165,600 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLVBA

About the role

Key responsibilities & impact

Support the research, development, and enhancement of quantitative risk models that measure and manage structural market risk across the Bank’s portfolios.
Develop and implement methodologies for products with contractual maturities and embedded optionality.
Collaborate closely with lines of business, other Corporate Treasury teams and oversight partners to strengthen the Bank’s SMR framework.
Coordinate the development, enhancement, and implementation of SMR models with the quantitative modeling team.
Perform model testing and coordinate model implementation across model development teams.
Ensure that models and non‑model assumptions meet Bank policies, standards, and regulatory requirements.
Perform ongoing back‑testing, stress‑testing, and benchmarking activities.
Provide subject matter expertise on behavioral modeling requirements.
Monitor the financial market environment and assess implications on model performance and structural risk metrics.

Requirements

What you’ll need

5-7 years of experience in Asset Liability Management, Market Risk Management or related quantitative risk domains
Experience running the QRM Asset Liability Management Framework (or similar ALM software)
Experience in fixed income, derivatives and valuation of instruments with embedded options.
Demonstrated understanding of FTP methodologies, stochastic valuation techniques and loan prepayment modeling.
Post‑secondary degree in a relevant field; advanced degree in quantitative disciplines preferred.
Professional designations in finance or risk preferred.
Advanced proficiency with Excel, SQL, VBA, and Python.
Experience with risk management, financial market products, valuation and balance sheet/ALM functions.
In‑depth understanding of quantitative modeling, statistics, financial metrics and data‑driven decision‑making.

Benefits

Comp & perks

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative risk modelsmethodologies for productsmodel testingback-testingstress-testingbenchmarkingbehavioral modelingFTP methodologiesstochastic valuation techniquesloan prepayment modeling

Soft Skills

collaborationsubject matter expertisecommunication

Certifications

professional designations in financeprofessional designations in risk