Manager Credit Risk Modeler (Development/Validation) & Researcher Specialist MDA Edge

5.0 - 9.0 years

0 Lacs

haryana

On-site

This position requires a seasoned professional as a Senior Manager with specialized knowledge of credit risk management. You will be overseeing the development, enhancement, and validation of credit risk models, ensuring compliance with regulatory standards, and driving innovation in risk management practices. The ideal candidate should have hands-on experience in Credit Risk Model Validation or Development with SAS and Python. Moreover, you should possess good hands-on experience in Regulatory Models such as AIRB, CECL, CCAR, Basel, IFRS9. You will primarily work as a consultant for the centralized advanced analytics team of a banking or financial firm as a Credit Risk Model Development/Validation and Researcher Specialist. Your responsibilities will include interacting with various business units including their risk, finance, controllership stakeholders. Furthermore, you will be responsible for coordinating with auditors and model development or validation teams to ensure the Enterprise Modeling Governance standards are followed. Your activities will include, but not be limited to: - Providing thought leadership and executing comprehensive modeling strategies aligned with business objectives and industry best practices. - Designing, developing, and validating predictive models to ensure accuracy, reliability, and compliance with regulatory standards. - Conducting rigorous testing and validation methodologies to ensure model robustness and reliability. - Providing analytical support for recommending actions to mitigate risk and using judgment-based decision-making regarding policies and procedures. - Assessing the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source. - Leading, training, and mentoring junior members in the team to foster a collaborative and innovative team culture. - Proposing recommendations to improve monitoring systems and capabilities based on identified risk and control gaps. - Conducting in-depth research on existing and emerging policies related to credit risk modeling and contributing to the creation of white papers. - Researching and contributing to artifacts creation as required in a consulting role. To qualify for this role, you should have experience in developing, validating models, and risk management of credit risk models. Additionally, you should possess knowledge of various statistical techniques and proven skills in regulatory and non-regulatory credit risk modeling. Understanding and experience on the regulatory risk model development/validation guidelines including SR 11-7, Basel IRB, CCAR, CECL, IFRS9, etc., will be crucial. You should have hands-on expertise in SQL, ETL, SAS, Python, R, working with large datasets, and a Master's degree in a quantitative discipline (Statistics/Economics/Finance/Data Science, etc.). The preferred qualifications for this role include strong networking, negotiation, and influencing skills, knowledge of credit risk management for retail and wholesale lending products, hands-on experience in Machine Learning modeling techniques, and prior Project Management and People Management expertise. The required skills and certifications for this role include Model Validation, SAS, Python, Regulatory Model, Model Development, and Credit Risk.,

Posted 6 days ago

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Manager, Credit Risk Model Validation MDA Edge

7.0 - 11.0 years

0 Lacs

haryana

On-site

This position requires a seasoned professional as a Senior Manager with specialized knowledge of credit risk management. You will be overseeing the development, enhancement, and validation of credit risk models, ensuring compliance with regulatory standards, and driving innovation in risk management practices. The ideal candidate should have hands-on experience in Credit Risk Model Validation or Development with SAS and Python. You should also possess good hands-on experience in Regulatory Models such as AIRB, CECL, CCAR, Basel, IFRS9. You will primarily work as a consultant for the centralized advanced analytics team of a banking or financial firm focusing on Credit Risk Model Development/Validation and Researcher Specialist. Your responsibilities will include interacting with various business units including risk, finance, controllership stakeholders, and coordinating with auditors and model development or validation teams to ensure adherence to Enterprise Modeling Governance standards. Your activities will involve providing thought leadership, developing and executing modeling strategies, designing, developing, and validating predictive models, conducting testing and validation methodologies, providing analytical support for risk mitigation, assessing data quality, leading and mentoring junior team members, proposing monitoring system improvements, conducting in-depth research on credit risk modeling policies, and contributing to white-paper creation. Minimum Qualifications: - Experience in developing, validating models and risk management of credit risk models. - Knowledge of various statistical techniques and proven skill in regulatory and non-regulatory credit risk modeling. - Understanding and experience with regulatory risk model development/validation guidelines such as SR 11-7, Basel IRB, CCAR, CECL, IFRS9, etc. - End-to-end development or independent validation of credit risk and regulatory models (PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML, counter fraud models, etc.). - Expertise in developing statistical/mathematical and machine learning based models, working with large data sets using SQL, ETL, SAS, Python, R. - Master's degree in a quantitative discipline (Statistics/Economics/Finance/Data Science, etc.). - Strong client management, communication, presentation skills. - Self-driven, proactive, with a "can-do" attitude, able to work under ambiguity and minimal supervision. - Strong project management experience, ability to communicate and coordinate across multiple business units. - Lead projects, provide thought leadership, technical guidance, training, and oversight. Preferred Qualifications: - Strong networking, negotiation, influencing skills. - Knowledge of credit risk management for retail and wholesale lending products. - Hands-on experience in Machine Learning modeling techniques. - Prior Project Management and People Management expertise. Required Skills And Certifications: - Model Validation. - SAS. - Python. - Regulatory Model. - Model Development. - Credit Risk.,

Posted 2 weeks ago

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