Job Title

Job Role: Candidate should know end to end working and functioning of payment products viz. IMPS, UPI, RTGS, NEFT and cards and have demonstrated building analytics driven solutions to prevent frauds Knowledge of Fraud management platforms is preferred Responsible to Review Fraud trends across Digital and Cards payments and Implement Rules to detect and prevent frauds Working knowledge of rule writing in FRMs like Falcon and Clari5 is required Candidate has demonstrated experience in building credit risk models for Credit Cards using various Statistical models and Machine Learning models -Coding knowledge on Hadoop environment is added advantage Should be able to work in minimum supervision Skills required: Building predictive Models/Machine Learning models and managing big data using Python and SAS is must Education : M. Tech/B. Tech/Statistics degree is mandatory Presentation: Good written and verbal communication skills Prior experience in Analytics with BFSI for 2-3 years is a must Hands -on experience on following methods and techniques is required as role involves working with both structure and unstructured data Ø Network Analysis(Graph theory) Ø Link Analysis ( Market Basket/Sequence Analysis) Ø Text mining & NLP Ø Regressions ( eg. Logistic ) Ø Classification methods (Decision Tree, Neural Networks, KNN, SVM) Ø Anomaly detection methods