NAM Info Inc · 4 hours ago
Senior Quantexa Developer
NAM Info Inc is seeking a Senior Quantexa Developer – Financial Crime to design, build, and implement advanced decision-intelligence solutions aimed at detecting and preventing financial crime risks. The role involves utilizing big data engineering, entity resolution, and graph analytics to enhance risk detection and improve investigation efficiency across the financial crime lifecycle.
Responsibilities
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
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
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
Company
NAM Info Inc
NAM Info Inc.
H1B Sponsorship
NAM Info Inc 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (26)
2023 (22)
2022 (46)
2021 (33)
2020 (29)
Funding
Current Stage
Growth StageRecent News
2025-01-31
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