Posted:9 hours ago|
Platform:
Work from Office
Full Time
- 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
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
Location: Mumbai
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
Kotak Mahindra Bank
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
Bengaluru, Mumbai (All Areas)
15.0 - 30.0 Lacs P.A.
Mumbai, Maharashtra, India
Salary: Not disclosed
3.0 - 7.5 Lacs P.A.
Noida, New Delhi, Gurugram
5.0 - 6.5 Lacs P.A.
Bengaluru, Mumbai (All Areas)
15.0 - 30.0 Lacs P.A.
4.0 - 7.5 Lacs P.A.
3.5 - 7.5 Lacs P.A.
4.0 - 7.5 Lacs P.A.
1.0 - 5.0 Lacs P.A.
4.0 - 7.5 Lacs P.A.
