Data Engineer- Quantexa

Desired Competencies (Technical/Behavioral Competency)

Must-Have 1. Experience in writing ETL scripts in Scala and Spark. 2. Hands-on experience in Quantexa 3. Worked on Fraud use cases 4. Good understanding of git, jira for deployment management and communication skills to operate within the team

Good-to-Have Knowledge in Data Modelling, CI/CD processes, Docker, Elastic Search, Kubernetes

SN Responsibility of / Expectations from the Role

1 Build and configure Quantexa-based fraud models using entity resolution, graph analytics, scoring models, and risk indicators.

2 Develop detection logic aligned with insurance fraud typologies such as staged accidents, inflated claims, synthetic identities, mule networks and collusive networks.

3 Implement contextual monitoring to surface hidden relationships across claimants, brokers, vehicles, service providers, employees, and external parties.

4 Build and optimize Spark-based data pipelines for claims, policy, billing, FNOL, external intelligence and investigative data.

5 Enhance investigative workflows by providing contextual network views for adjusters, SIU teams, and fraud investigators.

6 Partner with SIU, Claims Operations, Underwriting Fraud teams to validate typologies and refine detection thresholds.

7 Tune Quantexa components such as entity resolution configuration, rule scoring, risk indicators and alert prioritization.