Fraud Surveillance-Risk Analytics & Rules-HO & SUPPORT-Internal Control
Mumbai, Maharashtra, India
Kotak Mahindra Bank
Kotak Mahindra Bank, India’s trusted bank offers personal & business banking services - accounts, deposits, loans, cards, insurance, investments & more.
Role: Process Manager - Analytics
Mandatory Requirements:
Skills: Building predictive Models/Machine Learning models and managing big data using Python and SAS is must.
Education: MTech/BTech/Statistics degree is mandatory
Location: Mumbai
Presentation: Good written and verbal communication skills
Prior experience in Analytics with BFSI for 6-7 years is must
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 required.
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
Lead a team of Analysts responsible for Business Data Analysis and Rule Management in FRM
Candidate has demonstrated experience in building credit risk models for Credit Cards using various Statistical models and Machine Learning models
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
Coding knowledge on Hadoop environment is added advantage
Should be able to work in minimum supervision.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Classification Credit risk Data analysis Hadoop Machine Learning ML models NLP Python SAS Statistics Unstructured data
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