Inviting Applications for Credit Risk Model Validation Role
3 weeks ago
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 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 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.
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
Hands on experience in portfolio analytics/predictive modeling/independent validation of models
Experience in BFS analytics, with experience in credit risk analytics/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 models 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 communication/presentation skills – written & verbal
Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision.
Preferred skills
Knowledge of Banking and Financial services operations
Knowledge of credit risk management for retail and wholesale lending products
Some 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
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. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
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