Head - Data Science - Retail/SME Banking Domain

Role- Head Data Sciences

Exp- 10+ Yrs of Exp

Description: Need a background with Phd/ Masters degree in Statistics/Economics from a Tier-1 college.

Should have build scorecards using alternate data sources.

Build Credit Risk models for clients in Retails / SME Banking

Develop a sound, effective and independent model validation process

Experience in developing Credit Risk Model

Exp. in developing score cards- PD Models, PD Calibrations

Experience in modeling methods like Linear and logistic regression or other machine learning methods like Na- ve Bayes, Random Forest, Association rules, Neural networks, SVM, etc. is required.

Work closely with the Product and Engineering teams towards achieving organizational goals.

Exp. In statistical tools like SAS/R/MATLAP/Excel.

Thought Leader in Risk/Fintech.