Job Location: Mumbai
Roles and Responsibilities
Job Purpose:
Data procurement, processing, segmentation, analysis, and presentation for the purpose of preparation of Portfolio Risk Dashboards/ Other analysis
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- Ensuring time-bound procurement of necessary data required for scheduled risk dashboard publications
- Extraction of data from repositories such as EDW, Core system databases etc., either independently or with the help of support teams such as IT, Analytics etc.
- Ensuring completeness, sanity, consistency, and accuracy of data. Ensuring consistency of data and published analysis with other published data.
- Automate extraction/ collation of data to the maximum extent possible. Automate dashboards wherever possible.
- Close liaison with key stakeholders eg. Credit Strategy & Control Unit, Collections, Analytics, Capital Assessment Team, Product Teams etc. for securing / reconciling the necessary data
- Maintaining data repository in consistent form for future referral, audit trails etc.
- Processing of large, complex data sets including working with cross-sectional and time-series data on tools like R, SAS, Python etc.
- Provide primary inferences coming out of analysis.
- Testing given hypothesis based on the data analysis. Build new hypothesis based on insights originating out of data analysis.
- Creating dash-boards and/ or visualization in other formats (eg. PPT, Tableau etc.) for presentation of final output.
Educational Qualifications
- Proficient certification in R, SAS, SQL, Phython and/ or similar analytical tools
- Graduate / MBA/PGDM
- Degree in a quantitative discipline such as Statistics, Actuarial Sciences, Mathematics, Quantitative Finance or Economics, would be added advantage
- FRM Certification would be added advantage
Key Skills
- Expert knowledge and applied experience of working on analytical tools like R, SAS, SQL, Phython etc.
- Proficiency in MS-Office, primarily MS Excel and MS-Powerpoint, Tableau
- Analytical and communication skills
Experience Required
- At least 3 years of of extensive experience using SAS/Python and other analytical software in data analysis, modeling, and reporting
- Exposure to following areas will be added advantage – Statistical modelling, scorecard building, Logistic Regression, Linear Regression, Factor Analysis, Decision Trees etc
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This role demands co-ordination with stakeholders such as:
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