What s in it for YOU
- SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees
- Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees
- Dynamic, Inclusive and Diverse team culture
- Gender Neutral Policy
- Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits
- Commitment to the overall development of an employee through comprehensive learning & development framework
Role Purpose
Fraud Analytics ( Prevention) Manager will need to review and study dailyApp Fraud trends and build rules and models to reduce Fraud Losses due to ID take over, First party frauds etc. He will work closely with Fraud Strategy and Fraud Ops teams to understand new fraud trends and implement new strategies. He should implement analytical tools to reduce fraud losses, control key fraud control metrics like FPR, ADR, VDR etc. and periodic rationalization of rules and trends forecasting for fraud provisioning and management reporting
Role Accountability
- Lead the Fraud Analytics team to reduce application frauds and fraud losses and adhere to Regulatory Compliance policies through data science
- Analyze data on frauds and identify and recommend fraud rules rationalization to reduce frauds, enhance customer experience and ensure regulatory compliance
- Analyze & design rules for the fraud monitoring systems (Hunter ) to control key fraud risk metrics like FPR, ADR, VDR etc.
- Build fraud models using RPA for early detection of frauds, build Machine Learning predictive models to detect fraud trends
- Apply consumer behavior patterns, key portfolio drivers and macro-economic indicators and use data science to identify upcoming fraud trends & plug process gaps to improve forecast accuracy
- Prepare & publish reports for management on various key indicators i. e. consumer transaction behavior, demographic indicators and key fraud drivers
- Monitor fraud trends and alert decisioning, feed back the learnings/observations into the system and training people for process improvements
Measures of Success
- AFPR, ADR, VDR
- Fraud Catch Rate
- Rule Coverage Percentage
- Dispute Rate
- Industry Benchmarking: Strive to be best in the industry on Fraud loss to Spends ratio
- Process Adherence as per MOU
Technical Skills / Experience / Certifications
- In-depth knowledge of Data Analytics for predicting and analyzing large data
- Knowledge of Data Analytics tools including SAS, SAS-VA, Python, R, SQL, Excel, Tableau etc.
- Knowledge of Data Science concepts & their application on large data
Competencies critical to the role
- Excellent Team Leading and Interpersonal Skills
- Mentoring the team for Upskilling and address barriers/hurdles for execution.
Qualification
Graduate or Masters Degree
Preferred Industry
Banking / Financial Services
