Senior Quantexa Developer

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.

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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 Quantexa's 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.

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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.