ApTask · 3 weeks ago
Senior Quantexa Developer
ApTask is a leading global provider of workforce solutions and talent acquisition services, and they are seeking a Senior Quantexa Developer to design, build, and implement advanced decision-intelligence solutions for financial crime detection and prevention. This role focuses on utilizing big data engineering, entity resolution, and graph analytics within the Quantexa platform to enhance risk detection and investigation efficiency.
Human ResourcesInformation TechnologySmall and Medium BusinessesStaffing Agency
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
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
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
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
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
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
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
ApTask
ApTask is a staffing and recruiting company offering staffing, project, and workforce solutions.
H1B Sponsorship
ApTask has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2023 (1)
2020 (1)
Funding
Current Stage
Growth StageRecent News
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