Assistant Manager

3 weeks ago

Bengaluru, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Assistant Manager – Credit Risk, AML (Statistical Modelling)

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 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

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