Decision Science Modelling Expert

6 days ago

Bengaluru, Karnataka, India beBeeModelValidator Full time ₹ 32,50,000 - ₹ 45,00,000
Senior Model Validator - Decision Science

This position is for an experienced model validator to work with our esteemed banking and financial services organization.

Key Responsibilities:
  • Validate and test models in accordance with the Global Model Risk Policy, including assessment of inputs, calculations, reporting outputs, conceptual soundness of underlying theory, suitability of use for intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model.
  • Prepare written reports detailing the results of validations highlighting issues identified during the validation.
  • Validate remediation activities completed by stakeholders to ensure appropriate resolution of identified issues.
  • Communicate technical model-related information and results to stakeholders through the course of a validation.
  • Contribute to management, regulatory, and external confidence in all models used across the group.
Requirements:
  • Experience in retail credit risk model development validation, specifically comprising stress testing models (e.g., CCAR, PRA) and reserving models (such as CECL and IFRS9).
  • Familiarity with different retail PD LGD EAD model development methodology and its validation for different retail portfolios such as Credit Cards, Mortgage, PIL, etc.
  • Strong statistical knowledge with hands-on working experience in various modelling techniques such as linear regression, logistic regression, time series modelling, survival models, etc.
  • Sound understanding of different retail portfolios such as Credit Cards, Mortgage, PIL, etc.
  • Familiarity with OCC FRB, EBA, ECB, UAE Guidelines and PRA regulations and knowledge of risk models performance metrics and risks and associated issues.
  • Minimum 1-5 years of experience in model validation development in risk management in retail domain.
  • Experience with some statistical modelling software, programming language (e.g., SAS, Python, R, Matlab, C, VBA).

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