Financial Services Analytics
Candidate should have experience into following :
- Digital Analytics
- Predictive Modeling
- SAP/ R/ Python
- Experience in modeling using OLS and logistic regression, clustering, optimization, forecasting, decision trees. Experience in machine learning techniques (neural net, SVM, random forest etc.) is a strong plus point
- Experience in extracting, aggregating, structuring large volumes of loan level, instrument level, customer level data for various dimensions like demographic, behavior, loan performance and macroeconomic indicators, sourced from client and third party vendors
- Strong functional and analytic skills to identify potential business problems and translate business requirements into tactical analytical requirements
- Experience in resolving complex data issues in creative and effective ways. High self-motivation for success in a fast-paced, dynamic environment
Education : MBA/ MS - Statistics, any institute.
Domain : Finance Services, Banking, Credit Card Oonly
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