Senior Manager - Fraud Prevention Strategy
Gurugram, India
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1. Analyze data on frauds & prevented frauds to Identify and implement rule strategies to reduce frauds, enhance customer experience and ensure regulatory compliance.
2. Use data science to identify upcoming fraud trends & plug process gaps.
3. Design and implement rules in the fraud monitoring systems ( Fraud Engines like Hunter etc. ) including successful UAT/PVT to control key fraud control metrics like FPR, Catch Rate etc
4. Apply consumer behavior patterns, key portfolio drivers and macro-economic indicators for improving forecast accuracy
5. Prepare & publish reports for Management on various key indicators i.e. Acquisition Trends, Rule Management, Exception Monitoring, Delinquencies etc
6. Help building Fraud models basis key trends and specific findings
7. Highlight Anomalies through Exception Monitoring
8. Analyze data to recommend Fraud Rules rationalization for Increased Fraud Catch Rate and reduced False Positives
Measures of Success :
1. Fraud Catch Rate and False Positive Rate
2. Process Automation Initiatives: # of automations carried and manhours saved.
3. Quantification of benefits derived from key changes & initiatives implemented
4. Periodic review of key changes to derive efficacy
5. MIS & Reporting accuracy
Technical Skills
1. In-depth knowledge of Data Analytics for predicting and analyzing large data
2. Knowledge of Data Analytics tools including SAS or Python, SQL, Excel, Tableau etc.
3. Knowledge of Data Science concepts & their application on large data
4. Experience of generating reports, dashboards and performing analysis
5. Fraud Engine Rule Writing & Review
Key External Stakeholder(s) Customer, Regulators, Auditors, Fraud Engine Vendors, Bureaus (Falcon/Wibmo/Hunter)
Key Internal Stakeholder(s) Marketing, Sales, Customer Services, Operations, Compliance, IT, HR, Credit & FRM
Must have Qualification Graduates preferably Post-Graduates in any Engineering / Sciences / Maths/ Management from a reputed and recognized institute / University.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CX Data Analytics Engineering Excel Python SAS SQL Tableau
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