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twentyAI

Principal Risk Datastore Engineer | Financial Service - TWE46018

London
Posted about 14 hours ago
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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.

Reasons to use Rodeo

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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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Strong

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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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Skills

Java 11+
Java 17+
Spring
Spring Boot
Data Platform Engineering
Batch Processing
Time-Series Data
Data Schema Design
System Scalability
System Resilience
Auditability
SDLC
Financial Markets
Risk Data Platforms
Market Data

Location

London, England, United Kingdom

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