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Kotak Life Insurance
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Team Member - Risk-Salaried Personal LOANS-NEW-Risk

Team Member - Risk-Salaried Personal LOANS-NEW-Risk

Kotak Life Insurance

1 - 5 years

5 - 9 Lacs

Mumbai

Posted:1 week ago| Platform:

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Skills Required

risk management python data analytics sas sql process development team management production technology transfer business development dashboards field operations new product sales marketing manufacturing clustering pilot plant field work

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
Job description
Job title: Data, Personal Loan
Location: Head Office Mumbai
Grade M3
Number of Position 1
Job Responsibilities:

Monitor portfolio delinquencies at micro level, identification of segments, locations, channels, profiles and proposing policies/ strategies to enable business and control risk

Proficient in coding and working experience in creating risk monitoring dashboards like vintage charts, KPIs, business trends, etc.

Managing portfolio with data driven insights using Demog and Bureau data and recommend necessary alteration in policy when required

Experience on creating features using bureau/demog/banking variables and creating insights

Handled cross functional projects to develop new product/program

Knowledge about policy framework pertaining to personal loan product/Unsecured product

Monitoring loss in the business in different segments and highlight the reason for breach in threshold if any.

Automating crucial reports, testing and verifying the correctness of the same.

Co-ordinating with different stockholder for risk and policy related data and recommendation.

Job Requirements:

Minimum 3-8 year of experience

Work experience with MNC on risk/data analytics field is preferable

Proficiency in SAS/Python/DEX for risk management and policy implementation. Ability to debug, troubleshoot and resolve issues related to risk and policy.

Use analytical skill to identify root causes of problem and recommend effective solution.

Experience in creating features and running decision tree/cluster analysis to identify segments will be an added advantage.

Good problem solving skills and clear communicator.

Education qualification:

Btech or Grad/Post Grad in statistics - Preferred

Certification in coding languages like SAS/SQL/Python Preferred

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Team Member - Risk-Salaried Personal LOANS-NEW-Risk