As the Director, Treasury Retail Behavioural Models, you will play a critical role in advancing CIBC’s expertise in consumer behavioural risk through the application of advanced modeling techniques. This position focuses on developing and implementing robust statistical models that capture and predict retail customer behaviour, empowering the Treasury Analytics function to drive strategic growth and strengthen risk management.

In this role, you will generate strategic insights by identifying and analyzing key behavioural risk drivers within retail products, ensuring that statistical modeling is effectively translated into actionable business and technology initiatives. Success requires hands-on expertise in advanced statistical modeling, quantitative analytics, and the ability to communicate complex analytical findings to senior management and business partners. Your contributions will enhance the bank’s ability to understand, model, and manage retail behavioural risk, enabling 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.

How You’ll Succeed

• Consumer Behavioural Analysis – Lead the design and implementation of advanced statistical models and methodologies to represent and forecast retail customer behaviour and risk.   Develop, validate, and enhance behavioural models using techniques such as Generalized Linear Models (GLM), survival analysis, panel time series, and other advanced statistical methods.   Take ownership of developing robust behavioral risk analytics, ensuring all practical risk factors arising from customer behaviour are identified, measured, and managed.  Prototype and refine behavioral modeling strategies.

• Quantitative Analytics – Support the design and implementation of analytics and methodologies for risk representation and funds transfer pricing of retail products. Contribute to the development of robust pricing and risk analytics to help ensure all practical hedge-able risks are identified and managed. Assist in prototyping pricing and hedging strategies for fixed income derivatives.

• Systems and Support (Infrastructure) – Support the development and implementation of strategic business initiatives, collaborating across CIBC to communicate Treasury Analytics methodologies and resolve analytic/data requirements.  Oversee the maintenance of the pricing, risk, and analytics library, ensuring integration and consistency across all Treasury systems for bank-wide benchmarking and risk validation.  Develop and execute test plans, quality assurance, and user-acceptance testing to validate analytics and methodologies.   Ensure all models and methods are vetted and approved, maintaining consistency of risk measures and mitigating model risk across platforms.

• Management and Enhancement of Cash-Flow Modeling Books – Oversee the modeling of the retail risk representation in the cashflow modeling book (CFMB).   Collaborate with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liaise with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition processes and signing off on daily and monthly cash-flow modeling P/L.

Who You Are

• You can demonstrate 5+ years experience in Asset Liability Management (ALM), Analytics, Modeling, and Risk Management with a bank and/or other financial institution. You have experience in analytics with a focus on statistical modeling, behavioural analysis, and risk measurement is a strong asset. You also have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using Python/R/C++/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs. You can demonstrate knowledge in financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have 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.  It’s an asset if you have expertise in developing and applying advanced statistical models to retail banking products, along with experience in quantitative analytics and exposure to valuation and risk metrics of various interest rate derivatives will be an asset. 

• You have a degree (Masters/Doctoral) in mathematics, statistics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

• You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference. 

• You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. 

• You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life. 

• Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

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