What you'll be doing

Build the assurance and governance foundations for the Risk Assessment platform ensuring control effectiveness and decision accuracy.
Implement data quality monitoring, data contracts, and lineage tracking for full traceability from risk decisions back to source data.
Design and build automated monitoring systems to validate control effectiveness, detecting drift, false positives/negatives, and coverage gaps.
Create audit trail infrastructure and explainability tooling to ease regulatory reporting and compliance evidence generation.
Collaborate with the Risk API team to integrate governance and assurance capabilities into the core platform with clean integration points and shared data contracts.

Requirements

Proven experience in backend engineering building high-throughput, data-intensive systems using technologies like Kafka, SQL, and NoSQL databases.
Experience with data quality frameworks, pipeline orchestration, or lineage tracking to ensure trustworthy data at scale.
Strong systems thinking skills to reason about complex distributed systems, identify failure modes, and design robust yet operationally simple solutions.
Ability to work autonomously, define own work from high-level objectives, and drive delivery end-to-end.
Collaborative mindset to work effectively across team boundaries including Risk API, Product, and Financial Crime stakeholders.

Opportunity to work at the intersection of Risk API platform, Product, and Financial Crime teams on impactful governance and assurance systems.
Role offers immediate visibility and critical impact on the success of the Risk Assessment platform's governance layer.
Chance to build scalable, high-throughput solutions ensuring trustworthiness and integrity of risk decisions.