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Quantexa Developer - Columbus, OH - Only W2

Quantexa Developer - Columbus, OH - Only W2

Saransh IncColumbus, OH, United States
Hace 3 días
Tipo de contrato
  • A tiempo completo
  • Quick Apply
Descripción del trabajo

Designation : Quantexa Developer

Location : Columbus, OH (Day-1 Onsite and 5 Days a week)

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.

    • Quantexa Platform Configuration

  • Configure and tune :

    • Entity Resolution (ER) rules

  • Scoring models
  • Risk indicators and typologies
  • Alerting logic for contextual monitoring
  • Develop custom Scala / Java components to extend Quantexa functionalities when needed.

    • Integration & Deployment

  • Deploy Quantexa pipelines into cloud or on-prem environments.
  • Integrate Quantexa output with downstream systems : case management, alerting, dashboards.
  • Support performance tuning, troubleshooting, and production maintenance.

    • Financial Crime SME Collaboration

  • Work with AML investigators, FIU analysts, and compliance SMEs to validate typologies, false positives, and risk scoring.
  • Present technical solutions in business terms to compliance and risk stakeholders.

    • Required Skills & Experience

    Technical Skills

  • Strong proficiency in Scala or Java , with hands-on Apache Spark experience.
  • Experience with data engineering and Big Data ecosystems (Hadoop, Hive, HDFS, Parquet).
  • Understanding of entity resolution , network analysis, and graph-based data models.
  • SQL skills for data validation and data quality analysis.
  • Experience integrating APIs, microservices, and ETL / ELT pipelines.

    • Financial Crime Domain Knowledge

  • Familiarity with AML and fraud typologies such as :

    • Transaction structuring / layering

  • Trade-based money laundering
  • Sanctions circumvention
  • Watchlist matching
  • Synthetic identities
  • Account takeover / mule networks
  • Understanding of the AML lifecycle : onboarding / KYC, CDD / EDD, TM alerting, case investigation, SAR reporting.

    • Tools & Platforms

  • Experience with the Quantexa Decision Intelligence Platform (highly preferred).
  • Experience with cloud platforms (Azure / AWS / GCP) and CI / CD tools (Jenkins, GitLab, Azure DevOps).
  • Knowledge of Docker / Kubernetes is a plus.

    • Soft Skills

  • Ability to translate financial crime risk requirements into technical solutions.
  • Strong analytical, problem-solving, and debugging skills.
  • Excellent communication and collaboration across engineering, analytics, and compliance teams.
  • Ability to work in agile delivery environments.

    • Nice-to-Have

  • Knowledge of graph databases (Neo4j, TigerGraph).
  • Prior work with AML transaction monitoring systems (Actimize, SAS AML, Oracle FCCM).
  • Experience with ML-based risk scoring or anomaly detection.
  • Certifications such as CAMS, ICA, or cloud certifications (Azure / AWS).
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    Developer • Columbus, OH, United States

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