Contract Details:
- Duration: 6 months (likely to extend!)
- Location: London - 3 days onsite per week
- Contract engagement: Inside IR35
- 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:
- Lead technical design and delivery across the full SDLC.
- Build reliable batch-processing services for market and historical data.
- Design durable, searchable data stores and publish trusted datasets downstream.
- Ensure risk outputs are traceable and reproducible.
- Implement controls around configuration changes, validation and reprocessing.
- Improve performance, scalability, resilience and recovery.
- Work closely with infrastructure, security, DevOps and Quant Risk teams.
- Support production operations and an on-call rota when required.
- Set engineering standards, review designs and drive technical decisions.
Key Skills
- Strong experience building data-intensive, batch-processing platforms, ideally using market or time-series data.
- Advanced Java 11+ development, with Java 17+ preferred.
- Strong Spring/Spring Boot experience.
- Experience with durable data stores and data publishing to platforms
- Strong understanding of data schemas, schema evolution and retention.
- Experience building systems with strong performance, scalability, resilience, recovery and auditability.
- Experience working in regulated or tightly controlled environments.
- Strong ownership of software quality and maintainability.