About The Position

The Portfolio Management & Analytics team is a central hub of data driven strategy and analytical expertise within CIBC Canadian Banking, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms to truly revolutionize personalization to drive client experience and improve profitability. Reporting to the Sr Director Portfolio Management & Analytics, the Senior Manager of Portfolio Management & Analytics will ensure that sound analytical methods and processes are utilized to drive client-focused margin, revenue, and profitability. As a valuable member of the team, you’ll apply your knowledge and expertise of data and finance to lead a team solving a wide range of challenging business problems and bring innovative solutions. You’ll pro-actively contribute to the portfolio management function in the area of analytical design, strategy building, model governance and model performance monitoring and other analysis to help optimize the effectiveness and profitability of projects, marketing campaigns, pricing, optimization, contracts and other business decisions across our products. You’ll interact with groups across the organization from Products, Segments, Marketing to Channels, Treasury Risk. You’ll work with structured and unstructured data to produce end-to-end solutions, taking models from experiment to deployment.

Requirements

  • Degree/diploma in Finance, Business, Computer Engineering/Science based discipline.
  • Experience in data modeling skills.
  • Experience working with large datasets, including both structured and unstructured data and related tools (e.g., SQL, Python, etc.).
  • Expertise in designing and delivering user-friendly production reports for multiple users using various BI Platforms.
  • Strong proficiency in visualization tools, such as Tableau.
  • Ability to give meaning to data.
  • Enjoy investigating complex problems and making sense of information.
  • Ability to communicate detailed information in a meaningful way.
  • Attention to detail.
  • Critical thinking skills to inform decision making.
  • Motivated by collective success and teamwork.
  • Ability to act like an owner, take initiative, go above and beyond, and deliver results.
  • Values matter; bring your real self to work and live values - trust, teamwork, and accountability.
  • Business Requirements
  • Communication
  • Data Analysis
  • Operational Efficiency
  • People Management
  • Prioritization
  • Product Analytics
  • Product Knowledge
  • Reporting and Analysis
  • Test Planning

Nice To Haves

  • Graduate degree or professional designation.

Responsibilities

  • Ensure sound analytical methods and processes are utilized to drive client-focused margin, revenue, and profitability.
  • Apply knowledge and expertise of data and finance to lead a team solving challenging business problems and bring innovative solutions.
  • Pro-actively contribute to the portfolio management function in analytical design, strategy building, model governance, model performance monitoring, and other analysis to optimize the effectiveness and profitability of projects, marketing campaigns, pricing, optimization, contracts, and other business decisions across products.
  • Interact with groups across the organization from Products, Segments, Marketing to Channels, Treasury Risk.
  • Work with structured and unstructured data to produce end-to-end solutions, taking models from experiment to deployment.
  • Provide advanced analytics solutions to solve business problems by leveraging traditional analytical, statistical, machine learning and optimization techniques.
  • Conduct self-directed research, typically using non-traditional resources to solve business problems.
  • Work closely with a team of analysts to deliver and deploy effective client-level NIM optimization strategies in development and production environments.
  • Work closely with other senior modelers to facilitate effective dissemination of model and strategy business impacts and model governance and model performance to business partners.
  • Conduct business problem assessment independently.
  • Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality.
  • Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem.
  • Perform in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
  • Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise.
  • Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices.

Benefits

  • Competitive salary
  • Incentive pay
  • Banking benefits
  • Benefits program
  • Defined benefit pension plan
  • Employee share purchase plan
  • Vacation offering
  • Wellbeing support
  • MomentMakers, our social, points-based recognition program
  • Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
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