What you'll be doing

• Build Data Trust by implementing data quality monitoring, data contracts, and lineage tracking for full traceability from risk decisions back to source data.
• Deliver Continuous Assurance through automated monitoring systems that validate control effectiveness and detect issues like drift or coverage gaps before incidents occur.
• Enable Auditability by creating audit trail infrastructure and explainability tooling to simplify regulatory reporting and compliance evidence generation.
• Integrate with the Risk API team to embed governance and assurance capabilities into the core platform with clean integration points and shared data contracts.

Requirements

• Strong Backend Engineering skills with experience building high-throughput, data-intensive systems and proficiency in Kafka, SQL, NoSQL, 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 ability to understand complex distributed systems, identify failure modes, and design robust, operationally simple solutions.
• Ownership & Autonomy to operate with ambiguity, define work from high-level objectives, and drive delivery end-to-end independently.
• Collaborative Mindset to work effectively across teams, including Risk API, Product, and Financial Crime stakeholders, aligning on contracts, data models, and integration patterns.