Consultant / Senior Consultant – Model Risk Management

Job Description

Qualification : Education: Graduate/Master degree in computer science, statistics, econometrics, mathematics, computational finance, or similar Deep knowledge in Quantitative methods econometrics/ statistics.? Strong in Regression analysis, Time series Analysis, optimization.? Knowledge of Risk Models and Optimization algorithms.? Good working knowledge of SAS, Python and SQL, Machine learning, exploratory data analysis Responsibilities will include: Monitor and validate aggregate model risk in alignment with banks risk strategy You will lead a team of Model validators, who use their predictive and AI Modeling knowledge to review and validate a wide variety of the models Manage a grwoing Model Validation team responsible for independent first line validation of predictive and generative AI models Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness 5) Interpret data to recognize any potential risk exposure Development of challenger models that help validate existing models and assist with outcome analysis Ensure compliance with the model risk monitoring framework Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards Exposure to CCAR/CECL/IRB Models are preffered Evaluate the Banks compliance with SR 11-7 regulatory guidance