ZScale LLC · 1 day ago
Senior Quantexa Developer
Plano, TX
Contract
Onsite
Senior Level, Lead/Staff
9+ years expZScale LLC is seeking a Senior Quantexa Developer to design, build, and deliver decision-intelligence solutions aimed at helping financial institutions combat financial crime risks. The role focuses on creating scalable technical solutions for AML, KYC, fraud, and sanctions violations while collaborating with financial crime SMEs to enhance investigation effectiveness.
Information Technology & Services
No H1B
Hiring Manager
Kumar Vandanapu
Responsibilities
Design and implement Quantexa-based AML, KYC, Fraud, and Sanctions solutions using entity resolution, scoring, rules, and graph analytics
Develop detection logic aligned to financial crime typologies such as TBML, transaction structuring, layering, mule networks, and sanctions evasion
Convert financial crime risk and compliance requirements into scalable technical solutions within the Quantexa platform
Build and maintain Spark-based data pipelines for customer, account, transaction, and external intelligence data
Design and model entities and relationships to enable risk-based network analysis (customers, accounts, transactions, counterparties)
Optimize data transformations and graph structures to support contextual monitoring and investigations
Configure and fine-tune: Entity Resolution (ER) rules, Scoring and risk models, Financial crime indicators and typologies, Alerting and contextual monitoring logic
Develop custom Scala/Java components to extend platform capabilities where required
Deploy Quantexa pipelines in cloud or on-premise environments
Integrate Quantexa outputs with case management, alerting, and reporting systems
Provide ongoing support for performance tuning, troubleshooting, and production stability
Partner with AML investigators, compliance teams, and FIU analysts to validate typologies, scoring logic, and false-positive reduction
Clearly articulate technical solutions to non-technical risk and compliance stakeholders
Qualification
Required
9+ years of experience
Valid LinkedIn, Passport# and DOB are mandatory for submission
Strong hands-on experience with Scala or Java, and Apache Spark
Solid background in big data engineering (Hadoop, Hive, HDFS, Parquet)
Understanding of entity resolution, graph analytics, and network-based data models
Proficiency in SQL for data validation and quality checks
Experience with API integrations, microservices, and ETL/ELT pipelines
Familiarity with AML and fraud typologies, including transaction structuring and layering, trade-based money laundering, sanctions and watchlist screening, synthetic identities and mule networks, account takeover and fraud patterns
Understanding of the end-to-end AML lifecycle: onboarding/KYC, CDD/EDD, transaction monitoring, investigations, and regulatory reporting
Hands-on experience with the Quantexa Decision Intelligence Platform (strongly preferred)
Exposure to cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines (Jenkins, GitLab, Azure DevOps)
Knowledge of Docker and Kubernetes is an advantage
Strong ability to translate financial crime risks into technical solutions
Excellent analytical, problem-solving, and debugging capabilities
Effective communicator with the ability to collaborate across engineering, analytics, and compliance teams
Comfortable working in agile delivery environments
Preferred
Experience with graph databases (Neo4j, TigerGraph)
Prior exposure to AML platforms such as Actimize, SAS AML, or Oracle FCCM
Experience with ML-driven risk scoring or anomaly detection
Relevant certifications such as CAMS, ICA, or cloud certifications (AWS/Azure)
Company
ZScale LLC
Help client delivering projects
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase