Arbor TekSystems · 11 hours ago
Senior Quantexa Developer
Jersey City, NJ
Contract
Onsite
Senior LevelArbor TekSystems is seeking a Senior Quantexa Developer to design, build, and implement advanced decision-intelligence solutions that help detect and prevent financial crime risks. The role involves big data engineering, entity resolution, and Quantexa configuration to enhance risk detection and investigation efficiency.
Staffing & Recruiting
Hiring Manager
Mohammad Adnan khan
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
Qualification
Required
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
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
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
Preferred
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)
Company
Arbor TekSystems
At ArborTek, we specialize in connecting top tech talent with the companies that need them most.
Founded in 2021
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase