Assistant Vice President, Model Risk Manager
Toronto Head Office, Canada
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The AVP, Model Validation Quantitative Analyst within the Quantitative Risk Control (QRC) supports best-practice model risk activities consistent with the MUFG Model Governance Program. The models include those used within the various Business Units for supporting Global trading, lending, pricing, Securitization, and Capital market activities.
Responsibilities:
Model Risk Management:
- Developing, maintaining, and implementing the Bank's Model Risk Management Program covering Wholesale Credit risk models which are used for supporting risk scoring, decision-making, stress testing, ALLL/CECL/IFRS 9, economic capital estimation, financial reporting, and risk management
- Monitor model performance reports on an on-going basis to ensure models remain valid
- Applying strong risk knowledge to solve problems independently, without relying on daily supervision
Model Validation:
- Perform independent validations of various models developed based on statistical analysis and machine learning techniques
- Document the validation outcome in high-quality validation report and manage resolution of findings with model developers
Maintain Model Inventory:
- Conduct model/non-model assessment
- Issue/finding closure, and model annual review
Collaboration:
- Support relationship with regulators and internal audit
- Team player, ability to communicate technical concepts to non-technical audience
Skills & Experience
- Strong skills in quantitative methods including statistical analysis, and credit risk modeling
- Strong skills in quantitative methods and computer technology, such as Python, R and SAS
- 3-5 years' experience in related field
- Strong understanding of financial services industry
- Strong verbal/communication skills
- Attention to details
Education:
- Advanced degree of Masters or higher in statistics, finance, or other quantitative field
- Industry certifications a plus (e.g., CFA, FRM)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Credit risk Finance Machine Learning Python R SAS Statistics Testing
Perks/benefits: Career development Team events
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