About the company
SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto Make Life Simple inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone.
SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, color, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work.
Join us to shape the future of digital payment in India and unlock your full potential.
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
The Fraud Analytics SME will drive the strategic development and operational execution of fraud detection initiatives using advanced analytics, AI/ML models, and Early Warning Systems. This role is pivotal in enhancing SBI Card's fraud risk posture across digital and physical channels while ensuring regulatory compliance and customer trust Fraud Analytics (Detection) SME will need to monitor and study daily Transaction Disputes trends and build rules and models to reduce Disputes/ Fraud Losses. 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
- AI/ML-Driven Fraud Detection - Design and deploy machine learning models and fraud rules for anomaly detection, transaction scoring, and behavioral analytics to identify and prevent fraud in real time.
- Early Warning System (EWS) Implementation - Lead the development and refinement of EWS frameworks to proactively flag high-risk accounts, transactions, and patterns in alignment with RBI guidelines. 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.
- Portfolio Risk Analytics - Monitor customer portfolios for emerging fraud trends and develop predictive insights to guide underwriting and operational decisions. Analyze & design rules for the fraud monitoring systems (Falcon) to control key fraud risk metrics like FPR, ADR, VDR etc.
- Cross-Functional Collaboration - Partner with internal teams (Credit, Operations, Technology, Legal) and external stakeholders (merchants, acquirers, law enforcement) to manage fraud cases and drive resolution.
- Automation & Process Optimization - Build and maintain rule engines and decisioning systems to streamline fraud detection workflows and reduce manual interventions.
- Regulatory Compliance & Reporting - Ensure adherence to RBI, DPSC, and internal fraud governance standards through timely reporting and audit readiness.
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
- Technical Expertise
- Proficiency in SAS, Python, R, SQL, and data visualization tools (Tableau, Power BI).
- Experience with AI/ML Model Development.
- Strong understanding of Fraud and ACS Systems like Hunter, Falcon /WIBMO/NPCI platforms
- Functional Knowledge
- Deep understanding of fraud typologies across credit cards, digital payments, and merchant ecosystems.
- Familiarity with regulatory frameworks including RBI's EWS and DPSC guidelines.
- Analytical & Strategic Thinking
- Ability to translate complex data into actionable insights.
- Experience in building dashboards, scorecards, and fraud heatmaps.
- Leadership & Communication
- Proven ability to lead cross-functional teams and influence senior stakeholders.
- Strong written and verbal communication skills for presenting findings and recommendations.
Competencies critical to the role
- Excellent Team Leading and Interpersonal Skills
- Mentoring the team for Upskilling and address barriers/hurdles for execution.
Qualification
Bachelor's or Master's degree in Data Science, Computer Science, Economics, Math's, Engineering, Statistics, or related field.
Preferred Industry
Banking / Financial Services
