About the Role
The 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.

Key Responsibilities
Collect, clean, and analyse structured and unstructured data from multiple sources
Write and optimize SQL queries for data extraction and analysis
Build and maintain dashboards and reports for business and leadership teams
Identify trends, patterns, and anomalies to support data-driven decisions
Collaborate with business, product, and engineering teams to understand data needs
Ensure data accuracy, integrity, and documentation
Support ad-hoc analysis and recurring reporting requirements

Education
B.Tech / MCA / Engineering, or
Bachelor’s degree in Data Analytics,



Computer Science, Statistics, Finance, Information Systems, or a related field, or
Master’s degree in Data Science, Analytics, or Risk Management preferred

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

Technical & Analytics Skills
Advanced SQL and data querying skills
Experience with Python, R, or similar analytics languages
Familiarity with machine learning models (e.g., logistic regression, random forest, gradient boosting)
Experience with fraud rule engines and decision platforms
Dashboarding and visualization tools (e.g., Tableau, Power BI, Looker)
Knowledge of model monitoring, bias detection, and explainability (e.g., SHAP, model governance)

Preferred Certifications (any

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