Job Description

Role Accountability 1. Continuously 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 etc 6. Help building Fraud models basis key trends and specific findings 7. Highlight Anomalies through Exception Monitoring 8. Identify and suggest improvement areas for enhanced fraud mitigation, automation etc 9. Monitor fraud trends and alert decisioning, feed back the learnings/observations into the system 10. Analyze data to recommend Fraud Rules rationalization for Increased Fraud Catch Rate and reduced False Positives Stakeholder Liaising and Process Improvement: Liaison with internal stakeholders Credit, Sales, Marketing, Operations, IT,CS, FRM Teams to highlight fraud trends, suggest fraud prevention measures and take-up cross functional projects for process improvement. Measures of Success (Define the Outcomes expected of the role) 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. Regular MIS & Reporting Technical Skills / Experience / Certification (If any) 1. In-depth knowledge of Data Analytics for predicting and analyzing large data 2. Knowledge of Data Analytics tools including SAS, SAS-VA, Python, R, 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 Competencies critical for role with High Proficiency Analytical Skills Team Player Fraud Management 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 from a reputed and recognized institute / University.

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