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Job Purpose - Primary responsibility will be end-to-end Validation of AI/ML models used in different AL/ML solutions across different functions that may include decision trees, regression models, AI/ML techniques. - The role will also involve Projects on Automation and Implementations, liaising extensively with Credit, Policy, Risk Analytics, Credit Analytics, Audit, and IT, data governance team, business and end user including active engagement with Senior Management. - As a part of centralised team, the candidate will be responsible to validate the AI ML model across different business functions and enhance skills to adopt with the cutting-edge technology to validate the models of varying materiality and drive the detailed validation of said models as required. - Managing team to ensure all deliverables with respect to AI/ML Model Validation are met. - Enhance internal risk model and supervise & contribute on new risk model development project. - Collaborate within deferent sub team within risk research whenever required. Key Deliverables: - The candidate would be required to carry out end-to-end validation of models related to AI/ ML solutions including the review of the model assumptions, evaluation of the accuracy of models from qualitative and quantitative standpoint, and summarizing the findings in a report - Candidate would also be expected to evaluate the adequacy of theoretical framework and model design. Conduct research as required and provide supporting materials (white papers/ RBI/EBA publications) to either support or reject a modelling framework - Conduct replication of model results to confirm accuracy of model code and processing accuracy and capacity - Conduct review of SAS, Python or R codes and write new codes for statistical tests and/or design new tests if necessary - Conduct sensitivity and back testing analysis. The sensitivity analysis would include sensitivity of model results to changes in parameters and data inputs - Assess limitations of model results for its intended use and adequacy of model documentation - Prepare model validation report summarizing findings and providing recommendations - Automate the structured processes to avoid manual efforts and streamline execution - Present model validation results to various risk committees and Senior Management to maintain strong governance - Responding to RBI on any queries related to model validation and putting requisite process/ controls in place - Policy formulation for model validation and its allied processes - Managing the team of different levels (E2-D3) and mentor them on various aspects related to model building, model validation, statistical techniques etc.

Mumbai

Navi Mumbai

HDFC Bank - Senior Manager/AVP - Artificial Intelligence/Machine Learning - Model Validation 

Job Description for HDFC Bank - Senior Manager/AVP - Artificial Intelligence/Machine Learning - Model Validation  in HDFC Bank in  Mumbai Navi Mumbai for (3-7) years of experience. Apply Now!

HDFC Bank - Senior Manager/AVP - Artificial Intelligence/Machine Learning - Model Validation  | iimjobs.com