Data Engineer – FEC Screening & Sanction Detection
Core
Build and maintain scalable, secure systems for real-time fraud prevention and financial economic crime (FEC) detection, specifically within the RiskShield application.
Role type
Senior Data Engineer (Financial Crime & Sanctions)
Builds
Real-time fraud prevention systems (RiskShield) and transaction monitoring solutions for banks and financial institutions
Domain
Financial Services / Anti-Money Laundering (AML) / Sanctions Compliance
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PySpark, Microsoft Azure, Linux, Cloud environments, Automation, Power BI, Security (Vulnerability Management, Azure Compliance)
Preferred skills
Agile methodologies, Data visualization, Complex architecture design
Technologies
RiskShield, Microsoft Azure, PySpark, Power BI
Responsibilities
Build and maintain scalable, secure, and cost-efficient systems on RiskShield; Adapt and create new rules in the RiskShield application to improve performance and reduce false positives; Lead infrastructure and functional improvements within Transaction Filtering and Name Screening squads; Automate deploys and processes to enhance environment speed and reliability; Implement findings from audits and model validations to ensure regulatory compliance.
Seniority
Mid-Senior, hands-on IC
