Responsibilities 

You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm as Credit Risk Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also 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 will not be limited to the following: 

• Design, develop, and validate predictive models, ensuring accuracy, reliability, and compliance with regulatory standards. Conduct rigorous testing and validation methodologies to ensure model robustness and reliability. 

• Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures. 

• Assess 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. 

• Propose 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 whitepapers. Researching and contributing to artifact creation as required in a consulting role. 

Minimum qualifications 

• Experience in developing, validating models and risk management of credit risk models. 

• Knowledge of various statistical techniques and knowledge in regulatory and non-regulatory credit risk modelling 

• End-to-end development or independent validation of credit risk and regulatory models including but not limited to – PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML and counter fraud models etc. 

• Develop statistical/mathematical and machine learning based models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation.  

• Detailed knowledge of data analysis / analytics / mining techniques 

• Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. 

• Master’s degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.) 

• Strong client management and communication/presentation skills – written & verbal. 

• Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision 

• Strong project management experience and demonstrated expertise in communicating and coordinating across multiple business units.  

• Strong project management orientation with ability to work under time-sensitive commitments. 

• Strong networking, negotiation and influencing skills. 

• Understanding and experience on the regulatory risk model development/validation guidelines – SR 11-7, Basel IRB, CCAR, CECL, IFRS9 etc.  

• Hands on experience in Machine Learning modeling techniques