Your Role: Quantexa Developer / Contextual Analytics Engineer

• Design, develop, and deploy data ingestion pipelines to populate the Quantexa platform with data from diverse internal and external sources (e.g., transactions, KYC data, corporate hierarchies, external watchlists).

• Configure and tune the Entity Resolution engine to create a single, trusted view of customers, organizations, and counterparties across global data landscapes.

• Develop and implement contextual monitoring scenarios and analytics models to detect complex, multi-stage money laundering schemes and other financial crimes.

• Hands-on experience with the Quantexa platform and its Entity Resolution and Network Generation capabilities.

• Skills in building contextual views for Customer Due Diligence (CDD) and KYC.

• Experience developing and tuning scenarios for AML and Fraud detection.

• Data integration skills (SQL, etc.) to feed data into the Quantexa context.

Data Integration & Engineering:

• Work closely with Data Engineering teams to ensure the availability, quality, and timeliness of data feeds into the Quantexa platform, potentially integrating with cloud data platforms like Databricks and Snowflake.

• Develop and optimize data models within Quantexa to support advanced network analysis and graph-based analytics.

Solution Development & Automation:

• Build and customize components within the Quantexa platform to support the end-to-end investigation workflow, leveraging its capabilities for automated investigations.

• Develop utilities and scripts to extend platform functionality, automate data quality checks, and streamline operational processes.

• Utilize the platform's APIs to integrate Quantexa's risk intelligence into downstream case management systems and reporting tools.

Analytics & Continuous Improvement:

• Analyze the performance of detection scenarios, focusing on reducing false positives and improving the accuracy of true positive alerts.

• Collaborate with AML Analysts and Compliance SMEs to translate emerging financial crime typologies into new, quantifiable detection logic within the platform.

• Maintain comprehensive documentation of data flows, entity resolution logic, scenario configurations, and the overall solution architecture.

The Profile We’re Looking For: 3+ years of hands-on experience with the Quantexa Contextual Decision Intelligence (CDI) platform, specifically in implementation, configuration, and data integration.

• Proven experience in configuring Entity Resolution rules and understanding the concepts behind the Entity Lab.

• Scala and/or Java (core languages for Quantexa development).

• Python for data manipulation and analytics.

• SQL (Mandatory) and experience with big data technologies (e.g., Spark).

• Java or Python (Highly desirable for customization)

• Unix/Linux command line.

• Solid understanding of AML/CFT concepts, including customer risk rating, transaction monitoring, and suspicious activity detection.

• Understanding of Agile/Scrum methodologies

• Knowledge of the banking and financial services domain, especially compliance regulations.

Highly Desirable:

• Experience integrating Quantexa with cloud data platforms like Databricks, Snowflake, or Azure Synapse.

• Knowledge of graph theory and network analysis concepts.

• Experience working in an Agile development environment.

• Familiarity with the end-to-end AML investigation process and case management systems.

• Experience in a large, global financial institution.