Senior Manager, Treasury Analytics

CIBC • Toronto, ON

2d • Hybrid

About The Position

The Senior Manager of Treasury Analytics plays an important role in supporting the bank’s management of consumer behavioural risk. This position offers the opportunity to contribute to the Treasury Analytics function and participate in the execution of key mandates. As Senior Manager, you will help generate strategic insights, analyze risk drivers within retail products, and ensure that retail risk modeling is accurately reflected in business and technology processes. Success in this position depends on advanced critical thinking skills and the ability to analyze complex issues with hands-on involvement in analytics development and execution. You will be responsible for communicating analytical findings to management and business partners, ensuring your work supports informed decision-making and organizational improvement. At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

Requirements

• 3+ years experience in Asset Liability Management (ALM), Analytics, Modeling, and Risk Management with a bank and/or other financial institution.
• Strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling.
• Strong system and quantitative programming skills using C++/Python/R/SQL or high-level languages.
• Experience in working with banking retail products such as commitments, mortgages or GICs.
• Knowledge in financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques.
• Strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques.
• Ability to express modeling insights with an aptitude for explaining PnL and risk drivers.
• Experience in advanced GLM (including Cox regression), panel time series and model selection.
• Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.
• Motivated by accomplishing your goals and delivering your best to make a difference.
• Enjoy investigating complex problems and making sense of information.
• Communicate detailed information in a meaningful way.
• Creative problem solver and strong analytical skills.
• Know that teamwork can transform a good idea into a great one.
• Bring your real self to work and live our values - trust, teamwork, and accountability.

Nice To Haves

• 3+ years experience in quantitative analytics in areas of valuation, hedging and risk measurement is a strong asset.
• Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

Responsibilities

• Support the implementation of business initiatives, working with teams across CIBC to communicate Treasury Analytics methodologies and address analytic/data requirements.
• Help maintain the pricing, risk, and analytics library, ensuring integration and consistency across Treasury systems.
• Participate in developing and executing test plans, quality assurance, and user-acceptance testing to validate analytics and methodologies.
• Assist in ensuring all models and methods are properly vetted and approved, supporting consistency of risk measures and model risk management.
• Support the design and implementation of analytics and methodologies for risk representation and funds transfer pricing of retail products.
• Contribute to developing pricing and risk analytics that help identify and manage hedge-able risks.
• Assist in prototyping pricing and hedging strategies for fixed income derivatives.
• Apply your knowledge of interest rate derivatives (e.g., swaps and swaptions) valuation and market risk concepts to retail banking products.
• Apply customer behaviour modeling techniques (e.g., GLM, survival analysis) to support Treasury Analytics parameter reviews and deliver accurate analysis.
• Participate in the development, improvement, and maintenance of the analytics library, supporting the team with tools, models, and techniques for modeling customer behaviour and interest rate risk.
• Assist in the implementation of mathematical models, processes, and algorithms, ensuring operational effectiveness, accuracy, and thorough documentation.
• Data analytics capabilities to query and derive insights from data, using tools such as Python, R, SQL etc.
• Support the modeling of retail risk representation in the cashflow modeling book (CFMB).
• Collaborate with Lines of Business to understand behavioural changes and assist in evolving the program for effective risk modeling and hedging.
• Work with the Treasury CFO group to help interpret and explain cash-flow modeling P&L variability.
• Assist in enhancing PnL decomposition processes and support daily and monthly cash-flow modeling P&L activities.

Benefits

• competitive salary
• incentive pay
• banking benefits
• a benefits program
• defined benefit pension plan
• an employee share purchase plan
• a 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior