twentyAI
Principal Risk Datastore Engineer | Financial Service - TWE46018

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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.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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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