Fraud Surveillance-Risk Analytics & Rules-HO & SUPPORT-Internal Control

Role:

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 verbalcommunication 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

. 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

Coding knowledge on Hadoop environment is added advantage

Should be able to work in minimum supervision.