Analyst-Data Science

Analyst-Data Science


The person is expected to work on Credit Risk Modeling. The responsibilities include:

•            Development of Regulatory modeling framework (PD/LGD/EAD) for annual stress testing exercise and meet the new credit reserve standards set by the Financial Accounting and Standards Boards (FASB) and the International Accounting Standards Boards (IASB).

•            Development and enhancement of Regulatory (CCAR/CECL/IFRS9) loss forecasting models (PD/LGD/EAD) for credit and charge card portfolios.

•            Perform quantitative analysis to evaluate multiple alternatives to generate insights and derive recommendations.

•            Ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels.

•            Development of business requirements and collaboration with technology partners for model implementation

Previous model development experience is desirable.

•            Strong analytical and data analysis (SAS, SQL) skills.

•            Ability to apply advanced statistical and/or other quantitative techniques to solve business problems.

•            Good written and oral communication skills.

•            Ability to articulate complex theories, concepts, methodology and findings.

•            Self motivated and with a sense of urgency.

•            Willingness to work in a team environment and to cooperate with multiple partners.

Educational Qualification: MBA or Master’s Degree in a quantitative or business discipline from a premier institute

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