Modelling / Forecasting Senior Analyst – Quants
| Company | TD Bank |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- A university degree in Statistics or in a related quantitative discipline (Mathematics, Actuarial Science, Computer Science, Econometrics, Operations Research)
- Strong working knowledge and hands-on experience using SAS and SQL in the context of data manipulation, data mining, statistical analysis, and predictive modelling
- Proficiency in creating and manipulating large data sets for data mining and predictive statistical modelling
- Working knowledge of concepts and methodologies, such as retail credit risk scoring techniques, used in the assessment of credit risk for retail credit exposures
- Strong working knowledge of modern statistical model development and validation concepts and techniques, in particular linear and logistic regression techniques
- Strong project management skills and able to prioritize and manage workload to deliver quality results and meet assigned timelines
- Strong problem-solving skills, ability to independently identify and solve problems in an effective and timely manner
- Strong communication skills (both written and oral) to establish effective relationships across multiple business stakeholders.
Responsibilities
- Development of aggregation methodology (i.e. IFRS9 and credit loss stress testing)
- Risk analytics and supporting all relevant model life cycle activities, including validation, governance, and methodology to remediate model limitations
- Internal and external audit and implementation
- Extensive interactions with TDBG Model Validation and Model Risk Management, Retail Risk Management, Internal Audit, and external auditors
- Support review, approval process, and ongoing validation for the risk parameter models
- Ensure compliance with the TDBG Model Risk Policy, Capital Model Approval Policy, Data Governance requirements, and other relevant policies and regulatory requirements
- Work closely with and actively support TD Retail Risk Management, as well as retail credit product and finance areas by providing a deep analysis of credit risk drivers and parameters under various scenarios for the respective product portfolios
- Discuss key observations and conclusions derived from data analysis and modeling with retail credit product, finance, and risk management areas.
Preferred Qualifications
- Good retail credit risk management experience, including modeling and analytics
- Deep understanding of retail credit products and strategies
- Retail credit risk data, analytics, and modeling experience
- Deep knowledge of Basel II requirements, including hands-on experience in developing and implementing Basel II Retail AIRB models