RCU Analytics Team Member

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