Analytics Role - FS Banking

Requirement:

- 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 (Ordinary Least Square) 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.

- 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

- Experience in leading / assisting with BD efforts

- Strong people management skills both at client site and an offshore environment

Mandatory Tool :

- SAS or similar predictive modelling open source tool such as R, Python, knime etc.