Coordinate the development and implementation of SMR behavioral models, including embedded option valuation and earnings/economic value methodologies
Liaise with lines of business and product owners to fully understand product terms, embedded optionality, and customer behaviors that influence model design
Collaborate with Corporate Treasury teams to review and design behavioral models that can be implemented efficiently in QRM across SMR, FTP, and Planning/Forecasting use cases
Coordinate model implementation and testing with QRM Architecture, SMR Analytics & Reporting, and model development teams
Develop and maintain robust model and non-model assumption documentation, including methodologies, testing, and impact analysis
Provide comprehensive documentation and lead responses during Market Risk and Model Risk oversight review and challenge processes
Ensure compliance with all model risk and market risk policies, standards, and governance frameworks
Lead ongoing model monitoring, including back-testing, benchmarking, and stress-testing, recommending refinements as appropriate
Create, periodically review and refine non-model assumptions driving valuation, earnings forecasts, and customer behavior estimates
Develop quantitative analyses and processes supporting FTP components such as option costs, prepayment rates, weighted average lives, and related product cash-flow characteristics
Ensure alignment of assumptions and methodologies across SMR, FTP, and hedging strategies within Corporate Treasury’s Asset Liability Management framework
Provide SMR subject matter expertise to senior leaders on risk methodology, product design implications, and regulatory requirements
Lead responses to recommended changes or findings from Market Risk, Model Risk, Internal Audit, External Audit, and regulators
Build strong relationships with internal/external stakeholders, incorporating industry best practices and competitive insights to enhance SMR capabilities
Participate in projects focused on optimizing SMR measurement, reporting, hedging strategies, and risk management processes
Define analytical and reporting requirements to support decision-making; produce dashboard reporting and ad-hoc analysis
Ensure alignment and integration of data across systems in accordance with data governance standards
Collaborate with data owners to source, validate, and integrate internal and external datasets relevant to SMR modeling
Monitor market conditions, identifying impacts to model performance, assumptions, and overall SMR metrics
Provide strategic input to business decisions and contribute to roadmaps for model, assumption, and methodology enhancements
Lead or participate in change management initiatives, ensuring effective execution, communication, and sustained enhancements
Apply expert judgment to solve complex, ambiguous analytical and risk-related challenges
Requirements
Typically 7+ years of relevant experience with a post-secondary degree or equivalent mix of education and experience
Advanced degree in quantitative disciplines and/or professional finance/risk designations preferred
Strong proficiency in Excel, SQL, VBA, and Python
Strong in-depth experience using the QRM Asset Liability Management Framework or similar software
Previous experience implementing behavioral models in the QRM Framework or similar software
Previous experience in fixed income, derivatives, or loan valuation, including instruments with embedded options
Strong knowledge of Funds Transfer Pricing best practices for bank products with embedded optionality
Strong understanding of loan prepayment modelling and cash-flow waterfalls from structured mortgage-backed securities and other asset-backed securities
Strong knowledge of stochastic rate-path valuation concepts