BMO
Financial Services
DataScientist/PortfolioRiskManager
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist / Portfolio Risk Manager at BMO. Skills: Portfolio risk management, Loss forecasting, Data analysis, Credit policy. Develop loss forecasting framework. Enhance loss forecasting framework”
What You'll Achieve.
Manage risk taking; Improve profitability; Ensure adherence to policies; Achieve business objectives; Deliver against profitability targets
Industry & Context.
Problem-solving skills; Analytical skills; Root cause analysis
What They're Looking For.
Must Have
5 - 7 years of relevant experience, Post-secondary degree in related field, Proficient in SAS, Proficient in Excel, Proven ability to glean insights from data, Support data driven decision making, Highly proficient in data analysis, In depth knowledge of loan life cycle, In depth knowledge of loss mitigation process, In-depth knowledge of risk management metrics, In-depth knowledge of risk systems technology, Excellent analytical skills, Excellent problem-solving skills, Excellent verbal communication skills, Excellent written communication skills
Nice to Have
Prior experience in credit risk processes, Prior experience in loss forecasting, Knowledge of Python a plus, Knowledge of SQL a plus, Knowledge of Power BI a plus, In-depth knowledge of KPIs, In-depth knowledge of KRIs, In-depth knowledge of reporting & analytics concepts, In-depth knowledge of analytics applications
What You'll Do.
Develop loss forecasting framework
Enhance loss forecasting framework
Maintain reporting process
Communicate forecast and drivers
Facilitate accurate assessment
Facilitate accurate reporting
Conduct portfolio analyses
Monitor credit performances
Report credit performances
Identify performance drivers
Provide actionable recommendations
Apply predictive modeling techniques
Analyze business results
Influence portfolio credit performance
Influence portfolio profitability
Support portfolio acquisition
Support business acquisition
Support due-diligence exercises
Provide end-to-end analysis
Advance analytical capability
Maintain understanding of regulatory requirements
Ensure policies are compliant
Ensure procedures are compliant
Present results of portfolio monitoring
Present results of analysis
Provide recommendations for policy changes
Provide recommendations for strategy changes
Provide supports to audit efforts
Define the issue/risk
Assess potential implications
Provide recommended actions
How You'll Work.
Team & Collaboration
Liaison with collections/finance; Promote collaboration within Risk team; Collaborate across functions; Interact with LoB
Communication Scope
Executive summaries; Verbal communication; Written communication
Full Job Description
Application Deadline: 06/25/2026 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting The **Data Scientist / Portfolio Risk Manager** provides analysis, monitors the performance and develops portfolio credit recommendations on consumer loan portfolios to manage risk taking, improve profitability and ensure the bank’s lending activities adhering to Retail Credit policies and Risk Appetite target. This role leverages the use of statistical tools, quantitative modeling techniques and other business methodologies to mine data and support credit policy and strategy recommendations. The position is responsible for contributing to key risk management related business processes such as credit performance monitoring, retail risk policy/strategy development, credit loss reserving, loss forecasting and business planning. This role is also responsible for ADHOC analysis including due diligence for potential portfolio or retail lending business acquisitions. **Loss forecasting and performance monitoring (40%)** * Develop, enhance loss forecasting framework. Maintain efficient reporting process to communicate forecast and underlying drivers to senior management. Liaison with collections/ finance to facilitate accurate assessment and reporting of loss/allowance. * Conduct portfolio analyses, including monitoring and reporting credit performances of specific consumer loan portfolios, exploring and discovering root causes of changing credit profile and credit performances, identifying performance drivers and providing senior management with actionable recommendations. **Portfolio Risk management/Data Analysis (20%)** * Supporting growth and solve real business problems by applying customized business analysis or a variety of predicative modeling techniques, portfolio segmentation, champion/challenger methodologies to analyze business results and refine strategies and influence portfolio credit performance and profitability. * Combine retail lending product expert
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