Deputy Group Manager-R&C

About the Role

• Perform independent validations and reviews of models/EUCs across the model lifecycle under supervision of the US team.
• Assess model conceptual design, methodology, assumptions, limitations, data quality, implementation, and usage.
• Conduct quantitative testing, including:
• Outcome analysis
• Benchmarking
• Back-testing
• Sensitivity analysis
• Stress testing
• Performance monitoring reviews
• Evaluate model development documentation and supporting evidence.
• Verify compliance with internal model risk policies and regulatory guidance.
• Assign validation findings and risk ratings based on established governance standards.
• Develop recommendations for model improvements and risk mitigation.
• Assist in maintaining the model inventory, model risk ratings, and issue tracking and remediation.
• Collaborate with bank MRM team, model developers, business units, risk management teams, and technology teams.

Key Deliverables

• Comprehensive model validation reports.
• Validation test workpapers and supporting documentation.
• Findings and remediation tracking.
• Model performance monitoring assessments.

Requirements & Tech Stack

Education: Bachelor's degree in Statistics, Mathematics, Economics, Finance, Data Science, or related quantitative discipline.

Experience: 2-5 years of experience in model validation, model development, quantitative analytics, data science, risk management, or related fields within banking or financial services, preferably for U.S. clients.

Technical Skills

• Strong understanding of statistical and quantitative modeling techniques.
• Knowledge of:
• Regression analysis
• Time series forecasting
• Classification models
• Machine learning methodologies
• Probability and statistical inference
• Proficiency in one or more programming languages: Python, R, SAS, SQL.
• Experience working with large datasets and analytical tools.

Qualifications

• Familiarity with model risk management frameworks and regulatory expectations.
• Strong analytical and critical thinking skills.
• Ability to independently challenge complex quantitative methodologies.
• Excellent written and verbal communication skills.
• Strong report-writing and documentation capabilities.
• Attention to detail and commitment to quality.
• Ability to manage multiple projects and deadlines.
• Strong stakeholder engagement and relationship management skills.

Preferred Education: Master's Degree in a quantitative field.

Preferred Experience:

• Experience validating: Credit risk models, CECL models, Stress testing models, Market risk models, AML/Fraud models, Machine learning and AI models.
• Experience or familiarity with:
• SR 26-2 Model Risk Management Guidance
• OCC Model Risk Management expectations
• CECL framework
• Basel regulations
• Fair Lending and model governance requirements
• AI/ML model risk considerations