{"schemaVersion":"jobsearcher.job.v1","id":"024eb27e75a5b94eabe0fa7f","url":"https://jobsearcher.com/jobs/024eb27e75a5b94eabe0fa7f","canonicalUrl":"https://jobsearcher.com/jobs/024eb27e75a5b94eabe0fa7f","title":"Quantexa Developer","description":"Job ID: 26996034Reference Number: 25-01668Title: Quantexa DeveloperLocation: Iselin, NJ, 08830Posted Date: 2025-12-16Contact: Deepak KumarContact Email: dipak@hanstaffing.comContact Phone: (551) 795-0621Company: HAN Staffing Role 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 ResponsibilitiesFinancial Crime Solution DevelopmentDesign 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 & ModelingBuild 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 ConfigurationConfigure and tune:o Entity Resolution (ER) ruleso Scoring modelso Risk indicators and typologieso Alerting logic for contextual monitoringDevelop custom Scala/Java components to extend Quantexa functionalities when needed. Integration & DeploymentDeploy 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 CollaborationWork 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: TechnicalSkillsStrong 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 KnowledgeFamiliarity with AML and fraud typologies such as:· Transaction structuring / layering· Trade-based money laundering· Sanctions circumvention· Watchlist matching· Synthetic identities· Account takeover / mule networksUnderstanding of the AML lifecycle: onboarding/KYC, CDD/EDD, TM alerting, case investigation, SAR reporting. Tools & PlatformsExperience 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 SkillsAbility 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-HaveKnowledge 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":"Han Staffing","rawCompany":"han staffing","city":"Iselin","state":"NJ","isRemote":false,"isActive":true,"createdAt":"2026-09-03T06:29:02.972Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quantexa Developer","description":"Job ID: 26996034Reference Number: 25-01668Title: Quantexa DeveloperLocation: Iselin, NJ, 08830Posted Date: 2025-12-16Contact: Deepak KumarContact Email: dipak@hanstaffing.comContact Phone: (551) 795-0621Company: HAN Staffing Role 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 ResponsibilitiesFinancial Crime Solution DevelopmentDesign 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 & ModelingBuild 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 ConfigurationConfigure and tune:o Entity Resolution (ER) ruleso Scoring modelso Risk indicators and typologieso Alerting logic for contextual monitoringDevelop custom Scala/Java components to extend Quantexa functionalities when needed. Integration & DeploymentDeploy 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 CollaborationWork 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: TechnicalSkillsStrong 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 KnowledgeFamiliarity with AML and fraud typologies such as:· Transaction structuring / layering· Trade-based money laundering· Sanctions circumvention· Watchlist matching· Synthetic identities· Account takeover / mule networksUnderstanding of the AML lifecycle: onboarding/KYC, CDD/EDD, TM alerting, case investigation, SAR reporting. Tools & PlatformsExperience 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 SkillsAbility 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-HaveKnowledge 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).","datePosted":"2026-09-03T06:29:02.972Z","dateModified":"2026-09-03T06:29:02.972Z","hiringOrganization":{"@type":"Organization","name":"Han Staffing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Iselin","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"024eb27e75a5b94eabe0fa7f"},"url":"https://jobsearcher.com/jobs/024eb27e75a5b94eabe0fa7f"}}