Senior Manager

SBI Card; Gurugram District; On-site; INR 2,000,000 - 2,800,000; Full time

Benefits offered by this job

Medical Insurance

Personal Accident Insurance

Group Term Life

Annual Health Checkup

Dental & OPD

Learning & development

Job summary

SBI Card is seeking a Fraud Analytics SME to drive strategic development and operational execution of fraud prevention using AI/ML and advanced analytics. You will monitor applications, build rules to curb frauds, and work with Fraud Strategy and Ops to understand trends and implement defenses.

You will lead rule engines, dashboards, and risk analytics to shape underwriting and compliance, collaborating with various teams to reduce losses and improve fraud detection across channels.

Qualifications

• Bachelor's or Master's degree in data science, CS, economics, maths, engineering, statistics or related field.
• Strong understanding of fraud typologies across credit cards, digital payments and merchant ecosystems.
• Experience with SAS, Python, R, SQL and data visualization tools.

Responsibilities

• Design and refine fraud prevention rules and monitoring on platforms like Hunter, Falcon, and WIBMO to prevent onboarding of fraudulent applications.
• Develop and maintain Early Warning Systems to flag high-risk accounts during onboarding and monitoring of transactions.
• Build dashboards, scorecards and heatmaps to track fraud metrics and provide actionable insights.
• Collaborate with Credit, Operations, Legal and external partners to resolve fraud cases and ensure regulatory compliance.
• Lead cross-functional teams and communicate findings to senior stakeholders.

Skills

SAS

Python

R

SQL

Tableau

Power BI

AI/ML Model Dev

Fraud Systems

Education

Bachelor/Master in Data Science, CS, Econ, Math, Eng or Stats

Tools

Hunter

Falcon

Wibmo

NPCI platforms

Job description

About the company

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.

What s in it for YOU

1. 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.
2. Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees.
3. Dynamic, Inclusive and Diverse team culture
4. Gender Neutral Policy
5. Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits
6. 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 prevention 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 ( Prevention ) SME will need to monitor new applications and build rules and models to reduce scenarios of Applications Frauds , ID takeover , Sourcing Executives Frauds and Early MOB Transaction Disputes. . He will work closely with Fraud Strategy and Fraud Ops teams to understand new fraud trends and implement new strategies. He should implement strategies using analytical tools and feedback from Fraud prevention team to reduce fraud losses. He should regularly review new sourcing patterns to identify any anomalies or concentration of frauds/sourcing patterns by channels, geo locations, or demographics.

Role Accountability

1. Fraud Prevention Rule Design & Optimization - Develop and refine fraud rules monitoring rules on platforms like Falcon, Wibmo, and Hunter to prevent onboarding of any fraudulent/suspicious application and reduce Application Frauds, ID theft, ID takeover scenarios.
2. Behavioral & Demographic Screening
   • Detection of identity theft, demographic manipulation, and false statements (e. g. , overstated income) is part of the pre-acquisition fraud strategy.
   • Use of velocity checks, negative database matches, and recent transaction patterns to flag high-risk applications.
3. Early Warning System (EWS) Implementation - Lead the development and refinement of EWS frameworks to proactively flag high-risk accounts during Onboarding stage and monitoring at Early MOB transactions for potential Cashout and Mule Scenarios.
4. 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 (Hunter, Credit Bureau) to control key fraud risk metrics like FPR, ADR, VDR etc.
5. Cross-Functional Collaboration- Partner with internal teams (Credit, Operations, Legal) and external stakeholders (merchants, acquirers, law enforcement) to manage fraud cases and drive resolution.
6. Automation & Process Optimization - Build and maintain rule engines and decisioning systems to streamline fraud prevention workflows and reduce manual interventions.
7. Regulatory Compliance & Reporting - Ensure adherence to RBI, DPSC, and internal fraud governance standards through timely reporting and audit readiness.

Measures of Success

1. AFPR, ADR, VDR
2. Fraud Catch Rate
3. Rule Coverage Percentage
4. Dispute Rate
5. Industry Benchmarking: Strive to be best in the industry on Fraud loss to Spends ratio.
6. Process Adherence as per MOU

Technical Skills / Experience / Certifications

1. 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
2. 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.
3. Analytical & Strategic Thinking
   • Ability to translate complex data into actionable insights.
   • Experience in building dashboards, scorecards, and fraud heatmaps.
4. 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

1. Excellent Team Leading and Interpersonal Skills
2. Mentoring the team for Upskilling and address barriers/hurdles for execution.

Qualification

Bachelor s or Master s degree in Data Science, Computer Science, Economics, Maths, Engineering, Statistics, or related field.

Preferred Industry

Banking / Financial Services

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.