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Credit Risk Model Validation
2 weeks ago
Location – India (Bangalore, Gurgaon or Kolkata)
Are you the one we are looking for?
In this role, you will be responsible to work with the Enterprise’s Model Risk Management Teams for model validation, implementation & documentation - for a BFS client in North America
Responsibilities You will be working with the Model Risk Management team specifically on independent model validation for credit risk models, involving end-to-end validation of risk and regulatory models across business functions of a large banking client. It will also involve interaction with various stakeholder groups including model development, model owners/lines of business, auditors, and client model validators. Your activities will include, but will not be limited to the following: Work hands-on to validate models, build and lead validation teams, and bring in thought leadership and domain/quantitative best practices to present effective challenge to the models
End-to-end 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. Conduct first time (baseline), change based and annual validation Assess the models conceptually and quantitatively to ensure the model is suitable for the stated/intended use Conduct necessary assessments to challenge the model effectively. Assess adequacy of model documentation in line with regulatory guidelines Validation for the source data quality, forecast data quality as well as change management Development of benchmark models using statistical/Machine Learning technique during validation exercise to challenge model methodology Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques Prepare model validation report summarizing findings and provide recommendations and risk rate the models
Qualifications we seek in you Minimum qualifications Master’s degree or higher in Finance, Mathematics, Economics, Statistics, or equivalent experience Leading as well as hands-on experience in BFS analytical projects supporting portfolio analytics/predictive modeling/independent validation of models As team lead, candidate should have experience of overseeing the team's deliverables, ensuring adherence to SLAs for quality and timeliness, while also focusing on people management, client relationship management, leading continuous improvement initiatives, and managing client partner relationships. Experience in BFS analytics, with experience in credit risk modeling/independent validation of models (Regression, Logistic Regression, Time series, Clustering, CHAID/Classification trees, Time Series, Competing Risk, Survival Models, Markov TPM, scorecards, etc.) Experience in retail and wholesale credit risk modeling/validation is a plus Understanding of and experience in regulatory risk modeling/validation – SR 11-7, CECL, IFRS 9, CCAR, Basel IRB Hands on expertise in Excel, SAS & Python/R Strong client management and communication/presentation skills – written & verbal Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units Experience of managing projects and teams in risk modeling Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision
Preferred skills
Strong networking, negotiation and influencing skills Knowledge of Banking and Financial services operations Knowledge of credit risk management for retail and wholesale lending products Understanding and experience on the regulatory risk modeling/validation guidelines – SR 11-7, Basel IRB, CCAR, CECL, IFRS9 etc. Hands on experience in Machine Learning modeling techniques Prior Project Management and People Management expertise
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.
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