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Mortgage Pricing Analytics Manager

2 months ago


Old Toronto, Ontario, Canada Scotiabank Full time
About the Role

We are seeking a highly skilled Mortgage Pricing Analytics Manager to join our team at Scotiabank. As a key member of our analytics team, you will play a critical role in driving business growth and improving customer outcomes through data-driven insights.

Key Responsibilities
  1. Lead Mortgage Pricing Transformation: Coordinate and implement specific Mortgage Pricing Transformation analytics work streams, ensuring timely and effective delivery of results.
  2. Manage Stakeholder Relationships: Work closely with all relevant stakeholders to contribute to mortgage analytics and key performance indicators.
  3. Develop and Implement Analytics Solutions: Design and implement analytics solutions to support mortgage pricing optimization activities, including configuration and execution of mortgage pricing optimization activities.
  4. Perform Data Analysis: Validate and test optimization scenario results to ensure accuracy and reasonability, and perform and review optimization scenarios and support recommendations for changes to client segment level mortgage rates.
  5. Collect and Analyze Data: Support the collection of all inputs to the mortgage rate optimization process to ensure client segment level mortgage rates are in line with the current market conditions and segmentation schema.
  6. Deliver Business Insights: Deliver business insights by effectively leveraging technical tools including SAS Enterprise Guide, Base SAS, Python, and Power Bi for all management reporting activities.
  7. Improve Analytics Capabilities: Support the continuous improvement of tools and reports that inform mortgage pricing and product analytics going forward.
  8. Ensure Data Quality: Ensure data feeds that support analysis are available and accurate.
  9. Monitor Market Conditions: Monitor market conditions and the competitive landscape.
  10. Understand Risk Appetite: Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  11. Champion High Performance: Champion a high performance environment and contribute to an inclusive work environment.
Requirements
  1. Post-Secondary Education: Post-Secondary education focused in Business, Math, Computer Science or Information Systems.
  2. Analytics Experience: Analytics focused work experience, with knowledge and experience using tools such as SAS Enterprise Guide, Base SAS, Python and Power Bi/Tableau for data reporting and analytics.
  3. Technical Skills: Knowledge of SQL with experience working on enterprise data warehouse platforms and enterprise data lake platforms (i.e. DB2/SQL, Server/Hadoop).
  4. Communication Skills: Ability to source and interpret data, perform analyses and make informed recommendations, with good written and verbal communication skills and proven ability to engage and manage stakeholders.
  5. Analytic Processes: Experience and familiarity with analytic processes and fact-based decision making.
  6. Flexibility: A high degree of flexibility to adapt to a wide variety of tasks and changing priorities.
  7. Pricing Methodology: Pricing methodological knowledge including quantification of customer value and price elasticity of demand is considered an asset.
  8. Sales Management: Working knowledge of Sales Management and the Retail Sales Process is considered an asset.