TD is looking to solve business and technical problems related to risk management by developing and validating advanced quantitative models for credit risk scorecards, CECL models, and other customer-facing business processes. This involves ensuring the accuracy, appropriateness, and effective management of these models to mitigate risk across the bank.
Requirements
- Advanced skills in SAS and SQL
- Advanced level in statistical analysis and modeling tools
- Experience with predictive model development, financial stress testing, credit scoring, and/or AI/ML modeling
- Hands-on experience with statistics/data science in Python strongly preferred
- In-depth knowledge of quantitative models and statistical analysis
- Ability to employ complex analytical tools and statistics to perform analysis and forecasting of financial and other business information
- Strong statistical background and excellent analytical and problem solving skills
Responsibilities
- Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy.
- Develop independent benchmarks for use in the validation of the above listed models.
- Prepare detailed technical documentation such as validation reports, describing the mathematical underpinnings of the model, validation techniques employed, test results obtained, and any model limitations noted.
- Play a key role in ensuring the appropriate use of risk models.
- Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
- Stay current in knowledge of credit risk management methodologies, predictive modelling, and statistical analysis.
- Write computer code to implement new pricing models and enhancements to existing models.
Other
- Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- Graduate's degree preferred with either progressive project work experience or
- 3+ years relevant experience
- Strong communications skills, both written and verbal
- Our team currently operates under a hybrid work model, with employees expected to work in the office two days per week. Starting in November 2025, this expectation will increase to four days per week.
