Job Description

• Conduct independent validations of models, including but not limited to credit risk, market risk,
• counterparty credit risk, fraud detection, Stress Testing, AML and forecasting models.
• Should have model validation exposure in at least 2-3 of the areas listed above.
  Assess conceptual soundness, data quality, implementation accuracy, and performance of models.
• Prepare comprehensive validation reports detailing findings, methodologies, and recommendations.
• Document validation processes to ensure transparency and compliance with regulatory requirements.
• Ensure models adhere to relevant guidelines such as SR 11-7, EBA 2017/16, CCAR, Basel III, and other applicable standards.

Primary Skills

• Practice Management
• Participate in providing responses to Request for Proposals (RFP)
• Participate in development of Capability Packs
• Train team members on model validation and regulators aspects
• 1–3 years of hands-on experience in model validation, quantitative modelling, or risk management.
• Strong understanding of model risk, validation frameworks, and regulatory requirements.
• Strong technical skills in python. Knowledge of SAS and SQL is added advantage
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication skills to convey complex concepts effectively.
• Ability to Multitask in a dynamic, fast-paced environment and manage multiple priorities.