Data Engineer -- Regulatory Reporting & Portfolio Intelligence

Join our Risk & Compliance team as a Data Engineer supporting Regulatory Reporting and Portfolio Intelligence initiatives.

You will work closely with Country Compliance, Money Laundering Reporting Officers (MLROs), Risk, and Product teams to build the data infrastructure that powers regulatory compliance, reporting, and portfolio management across Nium's global operations.

This is a technical role with a strong regulatory edge - you'll not only architect and implement scalable data pipelines and connectors, but also help translate complex regulatory requirements into actionable data solutions.

You'll be a bridge between compliance/risk domain expertise and technical data engineering, ensuring our regulatory data is accurate, auditable, and readily available for both internal decision-making and regulatory submissions.

Key aspects of the role:

• Design and build scalable, maintainable data pipelines for regulatory and compliance data
• Develop and maintain XML and REST API connectors to ingest data from banking partners, regulatory bodies, and internal systems
• Implement bit request processing for real-time transaction data integration and portfolio updates
• Interpret regulatory requirements (transaction reporting, sanctions screening, KYC/AML, portfolio limits) and translate them into data models and processing logic
• Work directly with Country Compliance, MLRO, Risk, and Product teams to understand data needs and operationalize compliance rules
• Ensure all data flows are auditable, traceable, and compliant with regulatory standards and internal policies
• Build and optimize scalable, maintainable, and high-performance data pipelines for regulatory data ingestion, transformation, and delivery.
• Develop XML and REST API connectors to integrate data from banking partners, regulatory feeds, internal systems, and risk/compliance platforms.
• Implement bit request handlers to support real-time transaction and portfolio data updates for risk monitoring and regulatory reporting.
• Work with Compliance, MLRO, and Risk teams to understand regulatory filing and reporting requirements, then design data models and transformations to support them.
• Interpret regulatory requirements (sanctions lists, transaction thresholds, portfolio limits, reporting deadlines) and encode them into data logic and quality checks.