What you'll be doing

• Build Data Trust through data quality monitoring, data contracts, and lineage tracking to ensure traceability from risk decisions to source data.
• Deliver Continuous Assurance by designing and building automated monitoring systems to validate control effectiveness, detect drift, false positives/negatives, and coverage gaps.
• Enable Auditability by creating audit trail infrastructure and explainability tooling to reduce effort for regulatory reporting and compliance evidence generation.
• Integrate with Risk API by collaborating with the Risk API team to embed governance and assurance capabilities with clean integration points and shared data contracts.

Requirements

• Strong Backend Engineering experience building high-throughput, data-intensive systems; hands-on expertise with Kafka, SQL and NoSQL databases, and designing for scale and reliability.
• Data Engineering Aptitude including experience with data quality frameworks, pipeline orchestration, or lineage tracking to ensure trustworthy data at scale.
• Systems Thinking capability to reason about complex distributed systems, identify failure modes, and design robust and operationally simple solutions.
• Ownership & Autonomy, comfortable working with ambiguity and driving delivery end-to-end without close direction.
• Collaborative Mindset to work effectively across teams, aligning on contracts, data models, and integration patterns with Risk API, Product, and FinCrime teams.