Senior Quantexa Developer
Description:
Noblesoft Technologies provided pay range
This range is provided by Noblesoft Technologies. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$70.00/yr - $75.00/yr
Job Title Senior Quantexa Developer
Location: Columbus, OH 5 days onsite role, no hybrid
Employment Type: Long Term Contract
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 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 Quantexas Contextual Monitoring and investigations.
Configure and tune ER rules, scoring models, risk indicators, typologies, alerting logic, and 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.
Technical Skills
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.
Financial Crime Domain Knowledge
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.
Tools & Platforms
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.
Soft Skills
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.
Nice-to-Have
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).
Seniority Level
Mid?Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Software Development #J-18808-Ljbffr