Requirements

• Strong Backend Engineering: Experience building high-throughput, data-intensive systems; expertise with Kafka, SQL and NoSQL databases; designing for scale and reliability.
• Data Engineering Aptitude: Knowledge of data quality frameworks, pipeline orchestration, and 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: Comfortable working with ambiguity, defining work from high-level objectives, and delivering results independently.
• Collaborative Mindset: Skilled at working across teams, particularly with Risk API, Product, and FinCrime stakeholders, aligning on contracts, data models, and integration patterns.

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.
• Deliver Continuous Assurance through automated monitoring systems that validate control effectiveness and detect drift, false positives/negatives, and coverage gaps.
• 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.