Role: Data Engineer-Quantexa
Location: Any where in India
Years of experience: 5 to 12 yrs
Notice Period: 0-30 (or) immediate joiners are also preferred
Mode of Interview: Virtual Mode
Required Technical Skill Set Spark, Scala, Hadoop, Quantexa
Ex-TCSers are not applicable
Responsibilities:
- Build and configure Quantexa-based fraud models using entity resolution, graph analytics, scoring models, and risk indicators.
- Develop detection logic aligned with insurance fraud typologies such as staged accidents, inflated claims, synthetic identities, mule networks and collusive networks.
- Implement contextual monitoring to surface hidden relationships across claimants, brokers, vehicles, service providers, employees, and external parties.
- Build and optimize Spark-based data pipelines for claims, policy, billing, FNOL, external intelligence and investigative data.
- Enhance investigative workflows by providing contextual network views for adjusters, SIU teams, and fraud investigators.
- Partner with SIU, Claims Operations, Underwriting Fraud teams to validate typologies and refine detection thresholds.
- Tune Quantexa components such as entity resolution configuration, rule scoring, risk indicators and alert prioritization.
