Lead - Fraud Prevention team

Overview

Lead the development and enhancement of enterprise fraud detection and prevention capabilities, using Python and Sumo Logic to design, automate, monitor and optimize fraud detection processes.

What you'll do

• Lead the development and enhancement of fraud detection and prevention solutions.
• Design, develop and maintain scalable fraud analytics, monitoring and automation solutions using Python.
• Build and optimize fraud detection rules, alerting mechanisms and risk scoring models.
• Develop dashboards, reports and operational metrics using Sumo Logic.
• Analyze large datasets to identify fraud patterns, anomalies and emerging threats.
• Partner with Security, IAM, Risk, Compliance and Business teams to investigate fraud incidents and implement preventive controls.
• Drive continuous improvements in fraud monitoring processes and operational efficiency.
• Participate in on-call support and major incident response activities related to fraud detection platforms.
• Mentor junior team members and provide technical leadership across fraud prevention initiatives.
• Contribute to strategic roadmap planning and technology modernization efforts.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 10+ years of experience in Fraud Prevention or related technology domains.
• Expert-level proficiency in Python with experience developing APIs, automation frameworks and data processing solutions.
• Strong experience with Sumo Logic, including log ingestion and parsing, search queries and analytics, dashboard creation, alerting and monitoring, and operational reporting.
• Strong knowledge of fraud detection methodologies, risk analytics and anomaly detection techniques.
• Experience working with REST APIs and integrating multiple data sources.
• Strong analytical, troubleshooting and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Experience in AWS Cloud Data Lake technologies (S3, Glue, data pipelines).

Nice to have

• Hands-on experience with data integration and analytics.
• Experience with machine learning models for fraud detection.
• Knowledge of SQL and large-scale data analysis.
• Experience with cloud platforms such as AWS.
• Background in financial services and insurance.
• Exposure to SIEM platforms.

Details

• Location: Hyderabad, India.
• Shift timings: 12:30 PM to 9:30 PM.
• Participation in on-call support.