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Kotak Life Insurance
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Team Member-Support Services-Credit Industry Research

Team Member-Support Services-Credit Industry Research

Kotak Life Insurance

0 - 3 years

1 - 5 Lacs

Mumbai

Posted:1 week ago| Platform:

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Skills Required

Team Membement python data validation sas statistical techniques industry research credit risk forecasting basel model building computation sql credit risk modelling r economic capital financial reporting risk reporting model development risk analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role - Kotak Mahindra Bank looking to hire Team Member-Credit Risk
" Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations.

Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and or expert judgement based techniques

In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators

Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams" Preparing and submitting reports to the regulator and or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis." Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building." Ensure reliability, integrity and consistency of reported and underlying data" Build and manage a team of like-minded data analysts and modellers" Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage." Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable" Extensive experience and expertise in using any one or more among Python SAS R. Intermediate level SQL skills will be useful." Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches." Experience in projects involving automation data consolidation in the areas of risk or financial reporting would be an advantage

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