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Paragon Alpha - Hedge Fund Talent Business

Software Engineer

London
Posted about 23 hours ago
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We're partnering with a leading global multi-manager hedge fund to hire a RiskTech Engineer to help build the next generation of its front-office risk platform.

Working directly with Portfolio Managers, Quantitative Researchers and Risk Managers, you'll design and develop high-performance applications that transform quantitative research into scalable production systems used across the investment process.

This is an opportunity to work on business-critical technology in a fast-paced environment, gaining exposure to complex financial products, quantitative research and cloud-native architecture.

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

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

What You'll Do

  • Design, build and maintain scalable Python-based risk applications
  • Develop services and interfaces that deliver risk analytics to front-office users
  • Build and optimise large-scale data processing pipelines
  • Deploy and support cloud-native applications and infrastructure
  • Work closely with Risk, Quant Research and Portfolio Management teams to deliver new functionality
  • Drive projects from initial design through to production deployment

What We're Looking For

  • 7+ years' software engineering experience within financial services
  • Strong Python and/or C# development experience
  • Experience building scalable, production-grade applications
  • Strong SQL and database knowledge
  • Experience working with large datasets and distributed data processing
  • Excellent problem-solving skills with the ability to work independently

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Desirable Experience

  • Fixed income products or asset management
  • Time-series data
  • AWS, Docker and Kubernetes
  • Risk analytics or quantitative research environments
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Skills

Python
C#
SQL
Database Management
Distributed Data Processing
Cloud-native Architecture
AWS
Docker
Kubernetes
Risk Analytics
Quantitative Research
Software Engineering
Data Pipelines
Fixed Income
Asset Management
Time-series Data

Location

London, England, United Kingdom

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