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Principal Risk Datastore Engineer | Financial Service

Twenty Recruitment GroupSt Paul's, Central London🇬🇧United KingdomPosted 15 Sept 2026

Why This Role Stands Out

As a Principal Risk Datastore Engineer, you will lead the design and delivery of a critical risk data platform, offering significant impact within a leading financial markets organization. This hands-on role is perfect for a technically strong Java and data platform expert who thrives on owning architecture and driving complex technical decisions in a regulated environment. Apply now to contribute to a mission-critical system and shape the future of risk management.

Quick Overview

Seniority
Leader
Employment type
Temporary/Casual
Work mode
On Site
Location
St Paul's, Central London, United Kingdom
Posted
2 days ago

Job Description

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.



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