- Company Name
- Industrial and Commercial Bank of China (Canada)
- Job Title
- Manager, Model Validation
- Job Description
-
**Job Title:** Manager, Model Validation
**Role Summary:**
Lead independent validation of quantitative risk models across AML, climate, credit, market, liquidity, and forecasting domains. Ensure model compliance with internal policies and regulatory standards, communicate findings to stakeholders, and drive continuous improvement of validation methodologies.
**Expectations:**
- Deliver rigorous, timely model validation and testing.
- Maintain adherence to OSFI, Basel, and other regulatory frameworks.
- Produce clear, actionable validation reports and track remediation.
- Collaborate effectively with model developers, risk managers, and senior leadership.
- Stay current on model risk trends, regulatory updates, and AI/ML validation practices.
**Key Responsibilities:**
- Review model conceptual soundness, data inputs, assumptions, and methodology.
- Conduct backtesting, benchmarking, sensitivity analysis, and performance monitoring.
- Document validation processes, results, and recommendations in formal reports.
- Monitor and follow up on issue remediation with model owners.
- Present validation outcomes and risk assessments to senior committees.
- Recommend enhancements to validation tools, frameworks, and governance processes.
**Required Skills:**
- Strong statistical modeling, econometrics, and machine‑learning expertise.
- Proficiency in Python, R, SAS; working knowledge of SQL and database management.
- Solid understanding of financial risk models (AML, climate risk, stress testing, IRRBB, etc.) and ML model lifecycle.
- Familiarity with Basel III/IV, OSFI E‑23, SR 11‑7, and related regulatory guidance.
- Excellent analytical, written, and verbal communication skills.
- Ability to manage multiple projects independently.
**Required Education & Certifications:**
- Master’s degree or PhD in Quantitative Finance, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- 2–5 years of experience in model validation, quantitative analytics, or risk management (AML and climate risk experience preferred).
- No specific professional certification required, but credentials such as FRM, PRM, or relevant data‑science certifications are advantageous.