Paragon Alpha - Hedge Fund Talent Business
Software Engineer

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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.
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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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.
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.
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.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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