Contract Details:

1. Duration: 6 months (likely to extend!)
2. Location: London - 3 days onsite per week
3. Contract engagement: Inside IR35
4. Budget: To be discussed with suitable candidate

Role:

We are partnering with a leading Financial Markets organisation providing clearing services for credit derivatives across global markets, seeking a Principal Risk Datastore Engineer to lead the design and delivery of a mission-critical risk data platform.

This is a hands-on engineering role focused on market and historical time-series data supporting risk calculations, simulations and analytics. We are looking for someone with strong Java and data platform experience who can build highly reliable, scalable and auditable systems within a regulated environment.

The ideal candidate will be technically strong, proactive and comfortable taking ownership of architecture, engineering standards and complex technical decisions.

Responsibilities:

1. Lead technical design and delivery across the full SDLC.
2. Build reliable batch-processing services for market and historical data.
3. Design durable, searchable data stores and publish trusted datasets downstream.
4. Ensure risk outputs are traceable and reproducible.
5. Implement controls around configuration changes, validation and reprocessing.
6. Improve performance, scalability, resilience and recovery.
7. Work closely with infrastructure, security, DevOps and Quant Risk teams.
8. Support production operations and an on-call rota when required.
9. Set engineering standards, review designs and drive technical decisions.

Key Skills

1. Strong experience building data-intensive, batch-processing platforms, ideally using market or time-series data.
2. Advanced Java 11+ development, with Java 17+ preferred.
3. Strong Spring/Spring Boot experience.
4. Experience with durable data stores and data publishing to platforms
5. Strong understanding of data schemas, schema evolution and retention.
6. Experience building systems with strongperformance, scalability, resilience, recovery and auditability.
7. Experience working in regulated or tightly controlled environments.
8. Strong ownership of software quality and maintainability.