Senior Associate, Technology Delivery

MassMutual India; Hyderabad; On-site; INR 500,000 - 900,000; Full time

Job summary

MassMutual India in Hyderabad seeks a Lead Fraud Prevention Engineer to drive enterprise fraud detection and prevention capabilities. You will lead design, automation, monitoring, and optimization of fraud processes across platforms using Python and Sumo Logic.

The ideal candidate has 10+ years in fraud prevention, expert Python, and strong analytics, with experience in building detection rules, dashboards, and incident response. On-call support and mentoring are included.

Qualifications

• Bachelor's or Master's degree in CS/IT/Engineering.
• 10+ years of experience in Fraud Prevention or related domains.
• Expert-level Python for APIs, automation, and data processing.
• Strong Sumo Logic skills: ingestion, parsing, queries, dashboards, alerts.
• Experience with REST APIs and integrating multiple data sources.
• Strong analytical and communication skills.

Responsibilities

• Lead development and enhancement of fraud detection and prevention solutions.
• Design, develop, and maintain fraud analytics, monitoring, and automation using Python.
• Build and optimize fraud detection rules, risk scoring models, and alerts.
• Develop dashboards and operational metrics with Sumo Logic.
• Analyze large datasets to identify patterns and threats.
• Collaborate with Security, IAM, Risk, Compliance, and Business teams to investigate incidents.
• Drive continuous improvements in monitoring processes.
• Mentor junior team members and provide technical leadership.
• Participate in on-call and major incident response activities.
• Contribute to strategic roadmap and modernization efforts.

Skills

Python development

Stakeholder management

Team leadership

Analytical problem solving

On-call / incident management

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

Sumo Logic

AWS

SQL

Kafka

REST APIs

Job description

Lead - Fraud Prevention

Location

Hyderabad, India

Experience

10+ Years

Job Summary

We are seeking an experienced and highly motivated Lead Fraud Prevention Engineer to support and enhance enterprise fraud detection and prevention capabilities. The ideal candidate should have deep expertise in Python development, strong experience with Sumo Logic for monitoring and analytics. This individual will lead the design, automation, monitoring, and optimization of fraud detection processes, enabling proactive identification and mitigation of fraudulent activities across enterprise platforms.

Key Responsibilities

• 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.

Required Qualifications

• 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
  • 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.

Preferred Qualifications

• 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 in AWS Cloud Data Lake technologies (S3, Glue, data pipelines)”in the required qualifications section.
• Experience with cloud platforms such as AWS.
• Background in financial services and insurance.
• Exposure to SIEM platforms.

Desired Skills

• Python
• Log Analytics (Splunk/Sumo Logic)
• Kafka/Event Streaming - Part of data lake integrations
• SQL
• Fraud Analytics
• Risk Assessment
• Automation
• Data Engineering
• REST APIs
• Cloud Technologies
• Incident Management
• Stakeholder Management
• Team Leadership

Shift Timings: 12:30 PM to 9:30 PM