Senior/Staff Product Engineer - Risk & Control Governance

Data Governance: Building and maintaining data ownership, lineage, and quality monitoring systems that ensure every risk decision is powered by trusted data.

Control Assurance: Designing continuous monitoring and validation systems that verify controls perform as intended — including trigger validation, drift detection, coverage analysis, and control health scoring.

Auditability & Explainability: Implementing end-to-end audit trails, change history tracking, and explainability tooling that enables one-click regulatory evidence generation.

Scalable Solutions: Designing robust, high-throughput solutions that handle large volumes of data and can be quickly understood and scaled across multiple distinct risk domains.

You will join the team at a pivotal moment, with your contributions being immediately visible and critical to the success of the entire Risk Assessment platform's governance layer.

The core challenge for the team — and your immediate focus — is to build the assurance and governance foundations that the platform currently lacks, ensuring every control can answer: Was the right trigger used? Was the right data available? Was the right decision made? Is the control still effective?

Build Data Trust: Implement data quality monitoring, data contracts, and lineage tracking that give the organisation full traceability from risk decisions back to source data.

Deliver Continuous Assurance: Design and build automated monitoring systems that continuously validate control effectiveness — detecting drift, false positives/negatives, and coverage gaps before they become incidents.

Enable Auditability: Create audit trail infrastructure and explainability tooling that dramatically reduces the effort required for regulatory reporting and compliance evidence generation.

Integrate with Risk API: Work closely with the Risk API team to embed governance and assurance capabilities into the core platform, ensuring clean integration points and shared data contracts.

Strong Backend Engineering: Proven experience building high-throughput, data-intensive systems in Java. Hands-on expertise with Kafka, SQL and NoSQL databases, and designing for scale and reliability.

Data Engineering Aptitude: Experience with data quality frameworks, pipeline orchestration, or lineage tracking. You understand what it takes to make data trustworthy at scale.

Systems Thinking: Ability to reason about complex distributed systems, identify failure modes, and design solutions that are both robust and operationally simple.

Ownership & Autonomy: Comfortable operating with ambiguity, defining your own work from high-level objectives, and driving delivery end-to-end without close direction.

Collaborative Mindset: Ability to work effectively across team boundaries — particularly with the Risk API team, Product, and FinCrime stakeholders — to align on contracts, data models, and integration patterns.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

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