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Paragon Alpha - Hedge Fund Talent Business

AI/Software Engineer | Quant Hedge Fund

London
£150k – £200k/yr
Posted about 23 hours ago
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Our client is a $70BN quant hedge fund - after some serious gains in 2025, they are looking for world-class engineers to join them.

They're hiring into a high-impact Software Engineering team responsible for building the next generation of front-office financial infrastructure. Current initiatives include:

  • A greenfield margining platform
  • Cash optimization systems
  • Intelligent position allocation
  • Expanding support for new asset classes, including Fixed Income

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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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Around half of the team's roadmap is dedicated to AI engineering, developing intelligent systems that:

  • Automate financial workflows
  • Optimize capital efficiency
  • Improve operational decision-making
  • Embed LLMs and machine learning into core business processes

The team is led by one of the firm's most respected engineering leaders, who also heads AI Governance - helping define how AI is deployed responsibly across a world-class quantitative trading business.

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From a technical perspective, you'll be building large-scale distributed systems using C# and/or Java, working with:

  • Kafka/Flink event-driven architectures
  • Spark data processing
  • Kubernetes
  • SQL
  • Modern cloud-native engineering practices

We're operating with significant flexibility on compensation for exceptional engineers.

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Skills

C#
Java
Kafka
Flink
Spark
Kubernetes
SQL
LLM
Machine Learning
Distributed Systems
Cloud-native Engineering
AI Engineering

Location

London, England, United Kingdom

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