Data Scientist/Portfolio Risk Manager

Responsibilities

• Develop and enhance loss forecasting frameworks and maintain efficient reporting processes to communicate drivers to senior management.
• Conduct portfolio analyses to monitor credit performance, identify root causes of changing profiles, and provide actionable recommendations.
• Apply predictive modeling techniques, portfolio segmentation, and champion/challenger methodologies to refine credit strategies.
• Support business acquisition and due diligence exercises within the retail lending space.
• Ensure credit policies and procedures remain compliant with applicable regulatory requirements and risk appetite.
• Provide executive summaries on portfolio performance and risk concerns for governance forums and support audit efforts.

Requirements

• 5-7 years of relevant experience in data science or risk management.
• Post-secondary degree in a related field of study or equivalent combination of education and experience.
• High proficiency in SAS and Excel (Mandatory).
• Strong expertise in time series analysis, risk segmentation, and vintage/cohort performance tracking.
• In-depth knowledge of credit risk processes, loss forecasting, and the loan life cycle.
• Excellent analytical, problem-solving, and verbal/written communication skills.

Preferred Qualifications

• Experience with Python, SQL, or Power BI.
• Knowledge of AI and machine learning applications in risk management.
• Familiarity with risk management metrics, KPIs, and KRIs.

Benefits

• Competitive salary range.
• Comprehensive health insurance.
• Tuition reimbursement.
• Accident and life insurance.
• Retirement savings plans.

About the Company

BMO is a leading North American bank driven by a shared purpose: to Boldly Grow the Good in business and life. With over 12 million customers, we provide personal and commercial banking, wealth management, and investment services across Canada, the United States, and globally.