Quantexa Developer Columbus, OH Only W2

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 Quantexas 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).