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Job Details Date limite pour prsenter sa candidature : 02/19/2026 Adresse : 33 Dundas Street West Groupe de famille d'emploi : Analyses des donnes et communication de l'information Senior Analyst, Risk Modeling The Senior Analyst, Risk Modeling, contributes to the development, enhancement, and monitoring of statistical models supporting retail credit portfolios. This is a technical, datadriven role requiring strong quantitative skills, experience with complex datasets, and handson programming expertise. The ideal candidate has a solid grounding in statistics, 2+ years of experience in a financial institution, and strong proficiency in SAS, Python, and SQL. This position is based in Canada and collaborates closely with stakeholders across both Canada and the U.S. Key Responsibilities Model Development Build, enhance, and maintain predictive models for retail credit portfolios using statistical and machinelearning methods (e.g., logistic regression, GLM, segmentation). Execute the full model development lifecycle: data extraction, feature engineering, model training, variable selection, performance testing, and benchmarking. Ensure all work adheres to internal model governance standards, regulatory expectations (e.g., SR 117 principles), and documentation requirements. Data & Programming Manipulate and analyze large datasets sourced from multiple internal systems using SAS, Python, and SQL. Perform exploratory data analysis to identify trends, anomalies, and modelling insights. Automate processes and build efficient, reusable code components to support ongoing analytics needs. Documentation & Communication Prepare comprehensive model documentation, including methodology, assumptions, variable treatment, limitations, and monitoring results. Present findings clearly and concisely to internal stakeholders, including Model Risk, Product, and Strategy teams. Support model validation activities by responding to reviewer questions and producing analytical evidence. Model Monitoring & Maintenance Conduct regular model performance monitoring including PSI, KS, AR, calibration, and datadrift analysis. Identify model degradation and recommend recalibration or redevelopment when required. Investigate and resolve data or modelrelated issues proactively. Qualifications Masters degree in a STEM field (Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, or related discipline). Minimum 2 years of experience in risk modeling, credit analytics, or quantitative analysis within a bank or financial institution. Strong proficiency with SAS, Python, and SQL for statistical modeling and data processing. Strong foundation in probability, statistics, and predictive modeling. Demonstrated experience working with large datasets and complex data environments. Strong analytical and problemsolving skills with high attention to detail. Excellent communication skills (both written and verbal), with the ability to present complex concepts to nontechnical audiences. Salary Salary range: $82,800.00 - $154,800.00 (Canada). Salary may vary based on location, skills, experience, and qualifications. Additional compensation may include commissions or performance bonuses. Benefits BMO offers health insurance, tuition reimbursement, accident insurance, life insurance, and retirement savings plans. For more details on our benefits, visit: About Us BMO is driven by a common purpose: Having the courage to make a difference in lives and business. We innovate, collaborate, and support a strong risk culture. For more information, visit Recruiter Note BMO does not accept unsolicited CVs from any source other than the candidate directly. Unsolicited CVs sent to BMO will be considered BMO property. BMO will not pay any placement fees. A recruiting agency must first hold a valid written service agreement before sending CVs. EEO Statement American, British, Canadian, French, German, Irish, Italian, Japanese, Korean, Mexican, Nigerian, Polish, Portuguese, Russian, Spanish, Turkish, Chinese, and other diverse candidates are encouraged to apply. #J-18808-Ljbffr