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.

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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.

 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Big Data Classification Credit risk Data analysis Hadoop Machine Learning ML models NLP Python SAS Statistics Unstructured data

Region: Asia/Pacific
Country: India

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