Work on stated analytical approach with respect to the stated business objective
Extract the database and prepare the rolled-up database using analytical tools
Creation of variables and hypothesis based on the analytical request
Conduct detailed analysis, create segments, run predictive models to find solutions to the hypothesis and hence business requirement
Validate the findings and prepare business presentation
Implement the solution for the stakeholder along with campaign and CVM teams
Tracking performance of analytical solutions along with business results
Generate strategic reports and deliver adhoc analytical requirements
Work on strategic business analytics requirement from senior management
The ability to explain the analytical findings to a business user in a clear and articulate way
Strong proficiency in following tools: Base SAS/SAS Stat, e-Miner / EG, SPSS Clementine, R, Angoss etc.
Detail-oriented with an ability to support multiple projects at once
Masters degree or higher in a quantitative field (statistics, applied math, economics) with a strong focus on statistics
Exposure to predictive analytics (like Regression, Forecasting, segmentation, CHAID, Neural network, Cluster etc.)
Knowledge of statistical software like Base SAS/SAS Stat, e-Miner / EG, SPSS Clementine, R, Angoss etc.
Knowledge of SQL queries
Worked on Credit Risk Analytics for Retail Assets.
Application Scorecard for underwriting
Basel 2 Modelling
Experience with using CIBIL / Bureau data
Candidates from consultancy background (TCS, Accenture etc) will be preferred.