- Masters/ Doctoral degree/Graduate degree in quantitative discipline like Statistics, Economics, Operations Research, Management or Engineering from a reputed university
- 5-10 years of analytics delivery experience preferably in Financial Services (Banking/credit cards, payments/Insurance) .
- Strong skills using predictive modeling tools like SAS (Base, EG, E Miner others), R, Python, etc. Data Management skills using SQL, Hive etc
- Experience in modeling using OLS and logistic regression, clustering, optimization, forecasting, decision trees.
- 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.
- Excellent communication skills and ability to interact with all levels of end users, stakeholders and technical resources.
- 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
- Adept in information architecture in FS
- Able to solution architect with project teams and lead large delivery teams
- Strong people management skills both at client site and an offshore environment
Didn’t find the job appropriate? Report this Job