Data Scientist/Portfolio Risk Manager

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 expertise, lending process understanding and analytical expertise in lending policy and strategy enhancement. Support portfolio / business acquisition and due-diligence exercises in Retail Lending space; Promote collaboration within Risk team and across functions to provide end-to-end analysis that connects risk taking and profitability.

• Explore, adopt and champion AI and machine learning to advance risk team’s analytical capability

Credit Policy/Process/Strategy Analysis (20%)

• Maintain current understanding of applicable regulatory requirements for consumer loans and ensure policies and procedures are fully compliant.

• Present results of portfolio monitoring and analysis and provide recommendations for policy, process or strategy changes to more effectively manage risk, increase efficiency or improve bank profitability.

• Review policies and procedures to ensure adherence to credit risk-related operating procedures and applicable P&C Canada, BMO and U.S. policies as well as alignment with the business strategy and risk appetite.

Governance (20%)

• Provide clear, concise executive summaries on portfolio performance or risk concerns for discussion with key stakeholders at the appropriate governance forums to define the issue/risk, assess the potential implications to the bank and provide any recommended actions to remediate the risk.

• Provide supports to Internal/External audit efforts

Authorities:

• Information Access – Authorities to access information, records, facilities, systems, and personnel of the enterprise, including authorities to access and use confidential customer and financial information.

• Empowerment – Authority to interact with the LoB, providing analysis, consultation, issue identification and recommendations.

Scope and Impact:

This position contributes to financial reporting and loan portfolio risk outlook /performance, reported internally as well as externally. This position has direct impact on the achievement of business objectives as they relate to managing risk and delivering against profitability targets associated with the loan portfolio.

Qualifications:

• Typically, between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

• Prior experience in credit risk processes, and loss forecasting is highly preferred.

• Proven ability to glean insights from data and support data driven decision making.

• Highly proficient in data analysis , including time series analysis, risk segmentation, vintage/cohort performance tracking.

• Proficient in SAS, Python and Excel ( Mandatory). Knowledge of software like Power BI a plus.

• In depth knowledge of loan life cycle and loss mitigation process.

• In-depth knowledge of risk management metrics, KPIs and KRIs.

• In-depth knowledge of reporting & analytics concepts and applications.

• In-depth knowledge of risk systems technology.

• Excellent analytical and problem-solving skills.

• Excellent Verbal & written communication skills.