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5.0 - 10.0 years
15 - 30 Lacs
Bengaluru, Mumbai (All Areas)
Work from Office
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 Location: Mumbai 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 Network Analysis(Graph theory) Link Analysis ( Market Basket/Sequence Analysis) Text mining & NLP Regressions ( eg. Logistic ) Classification methods (Decision Tree, Neural Networks, KNN, SVM) Anomaly detection methods
Posted 1 month ago
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