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
Why Join Us?
We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products, and services. To accomplish this, we celebrate an inclusive, vibrant, and diverse culture that encourages growth, openness, and opportunities for everyone. A career with MassMutual, Great Place to Work® certified and India's Best Workplaces in BFSI 2023 - Top 50 organization means you will be part of a strong, stable, and ethical business with industry leading pay and benefits. And your voice will always be heard.
Does this sound like a great fit? Apply today!
