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**** Webcam interview *** 12-Months Project *** LinkedIn Must*** Onsite(5days onsite per week at Columbus, OH/ Plano, TX/Houston, TX/ Jersey City, NJ/ Chicago, IL)***Overview :-
We are looking for a Quantexa Developer – Financial Crime to design, build, and implement advanced decision-intelligence solutions that help detect and prevent AML, KYC, fraud, sanctions breaches, and other financial crime risks.
This role combines big data engineering, entity resolution, graph analytics, and Quantexa configuration to create connected views of customers, accounts, transactions, and counterparties.
You will play a key part in delivering contextual intelligence that improves risk detection, reduces false positives, and enhances investigation efficiency across the financial crime lifecycle.
Key Responsibilities :-
- Financial Crime Solution Development.
- Design and implement Quantexa-based AML/KYC/Fraud solutions using entity resolution, rules, scoring, and graph analytics.
- Develop detection logic aligned with financial crime typologies (e.g., TBML, layering, structuring, mule networks, sanctions evasion).
- Translate AML and fraud risk requirements into technical specifications within the Quantexa platform.
Data Engineering & Modeling:-
- Build Spark-based ingestion pipelines for customer, account, transaction, and external intelligence data.
- Model entities and relationships for risk-based network views (customers → accounts → transactions → counterparties).
- Optimize data transformations and graph structures to support Quantexa’s Contextual Monitoring and investigations.
Minimum required skills:-
- Quantexa experience in at least one area: ETL, Batch Resolver (BR), Graph Scripting , Scoring, or Alerting.
- Strong data engineering: Spark/Scala or Pyspark, pipelines, data quality, performance tuning.
- Cloud: AWS (or equivalent) experience.
- CI/CD: Jenkins/Git/Gradle (or similar).
- Production ops: real incident handling, monitoring, triage.
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