Requirements

• Strong Backend Engineering experience with high-throughput, data-intensive systems in any language.
• Hands-on expertise with Kafka, SQL and NoSQL databases, designing for scale and reliability.
• Experience with data quality frameworks, pipeline orchestration, or lineage tracking.
• Systems Thinking: ability to reason about complex distributed systems and design robust, operationally simple solutions.
• Ownership & Autonomy: comfortable working with ambiguity, defining work from high-level goals, and driving delivery end-to-end independently.
• Collaborative Mindset: able to work effectively across teams, especially with Risk API, Product, and FinCrime stakeholders.

What you'll be doing

• Build data trust by implementing data quality monitoring, data contracts, and lineage tracking for full traceability from risk decisions to source data.
• Design and deliver continuous assurance by building automated monitoring systems to validate control effectiveness and detect issues before incidents occur.
• Enable auditability by creating audit trail infrastructure and explainability tooling to streamline regulatory reporting and compliance evidence generation.
• Integrate governance and assurance capabilities with the Risk API platform ensuring clean integration points and shared data contracts.
• Build and maintain data ownership, lineage, and quality monitoring systems.
• Design continuous monitoring and validation systems for control assurance including trigger validation, drift detection, coverage analysis, and control health scoring.
• Implement end-to-end audit trails, change history tracking, and explainability tooling.
• Design scalable, high-throughput solutions handling large data volumes across multiple risk domains.