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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Validate models in scope under the bank-wide Model Risk Policy
- Validate models used for RWA capital projections, PPNR stress testing, retail product adjudication, management and collections, marketing, and analytics
- Develop independent benchmark models using supervised learning, unsupervised learning, and deep learning algorithms
- Assess model appropriateness, assumptions, and implementation accuracy
- Prepare detailed reports covering mathematical analytics, validation techniques, test results, and model limitations
- Prepare management summaries with validation outcomes and recommendations for approval or improvement
- Maintain working relationships with internal model development groups and external model vendors
- Support appropriate use of risk models
- Identify needs for new models and techniques as industry standards and regulatory requirements evolve
- Maintain current knowledge of credit risk management, predictive modeling, and statistical analysis
Requirements
What you’ll need- Graduate degree in statistics, economics, finance, mathematics, computer science, engineering, or a related area
- 3–5 years of experience with model development/validation, including machine learning models, PPNR stress testing, scorecard and/or capital models
- Strong statistical background
- Excellent analytical and problem-solving skills
- Hands-on experience with Python, SAS, or R
- Knowledge of retail banking products, customer behaviours, and macroeconomic impacts is an asset
- Excellent verbal and written communication skills
- Good time management and multitasking skills
- Ability to quickly grasp new concepts and techniques
- Team-player skills
Benefits
Comp & perks- Base salary
- Variable compensation
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
- Regular development conversations
- Training programs
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Interview accommodations, including accessible meeting rooms and captioning for virtual interviews