Job Description
About the Role
nThe Auth Fraud Supervisor – Identity Fraud & Data Analytics leads the organization’s identity fraud prevention and detection strategy using advanced data analytics and intelligence-driven insights. This role is responsible for leveraging data, statistical models, and fraud technology to identify, prevent, and investigate identity fraud across digital onboarding, authentication, and account lifecycle activities, while optimizing customer experience and regulatory compliance.
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nKey Responsibilities
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- Collect, clean, and analyse structured and unstructured data from multiple sourcesn
- Write and optimize SQL queries for data extraction and analysisn
- Build and maintain dashboards and reports for business and leadership teamsn
- Identify trends, patterns, and anomalies to support data-driven decisionsn
- Collaborate with business, product, and engineering teams to understand data needsn
- Ensure data accuracy, integrity, and documentationn
- Support ad-hoc analysis and recurring reporting requirementsn

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nEducation
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- B.Tech / MCA / Engineering, orn
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, Finance, Information Systems, or a related field, orn
- Master’s degree in Data Science, Analytics, or Risk Management preferredn

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nExperience
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- 6+ years of experience in fraud risk management with a solid focus on identity fraud analyticsn
- 1+ years of experience in a Data Analyst or Business Analyst rolen
- Hands-on experience working with large datasets, real-time fraud systems, and analytics platformsn

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nTechnical & Analytics Skills
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- Advanced SQL and data querying skillsn
- Experience with Python, R, or similar analytics languagesn
- Familiarity with machine learning models (e.g., logistic regression, random forest, gradient boosting)n
- Experience with fraud rule engines and decision platformsn
- Dashboarding and visualization tools (e.g., Tableau, Po

📌 Auth Fraud Supervisor (Bengaluru)
🏢 Unique Identification Authority of India (UIDAI)
📍 Bengaluru