Job Title Senior Quantexa Developer
Location: Columbus OH 5 days onsite
Long Term Contract role
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.
Required Skills & Experience:
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.
Key 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.
Data Engineering & Modeling
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.
Quantexa Platform Configuration
Configure and tune:
o Entity Resolution (ER) rules
o Scoring models
o Risk indicators and typologies
o Alerting logic for contextual monitoring
Develop custom Scala/Java components to extend Quantexa functionalities when needed.
Integration & Deployment
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.
Financial Crime SME Collaboration
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.
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.
Job Title Senior Quantexa Developer Location: Columbus OH 5 days onsite Long Term Contract role 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 sanct...
Job Title Senior Quantexa Developer
Location: Columbus OH 5 days onsite
Long Term Contract role
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.
Required Skills & Experience:
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.
Key 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.
Data Engineering & Modeling
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.
Quantexa Platform Configuration
Configure and tune:
o Entity Resolution (ER) rules
o Scoring models
o Risk indicators and typologies
o Alerting logic for contextual monitoring
Develop custom Scala/Java components to extend Quantexa functionalities when needed.
Integration & Deployment
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.
Financial Crime SME Collaboration
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.
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.
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