
RCU Analytics Team Member
4 weeks ago
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
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