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The role involves evaluating conceptual soundness and model performance of various forecasting models for loss, balance, stress testing, and macro-economic metrics, ensuring compliance with applicable policies and contributing to cross-functional initiatives.
Job Responsibility:
Review and validate new and existing model and framework, provide effective challenge, ensure validation work quality
Help manage model risk across the model lifecycle including model validation, performance evaluation and annual model reviews
Challenge and continually improve MRM Guidance on modeling approaches and model performance testing
Contribute to strategic, cross-functional initiatives within MRM organization.
Requirements:
Minimum of Master’s degree in a quantitative field (Statistics, Mathematics, Physics, Engineering, Computer science, etc.)
Higher academic qualifications and/or certifications such as a PhD, a second Master’s degree, CPA or CFA is a plus
Must have a strong background in statistical modelling techniques
Good understanding of Model Risk Management
Strong written and oral communication skills.
Nice to have:
Higher academic qualifications and/or certifications such as a PhD, a second Master’s degree, CPA or CFA is a plus.
What we offer:
Plenty of learning and growth opportunities
Exposure to technical and leadership perspectives
Interaction with different areas of business operations
Exposure to a variety of modeling approaches, including machine learning
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