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C# Developer - Front Office Engineering | Hedge Fund - London

London
Posted about 15 hours ago
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We’re working with a leading fixed income hedge fund in London that is expanding its front-office engineering team.

The fund has a strong performance track record, a deep commitment to technology, and a culture where engineers work side-by-side with quants and traders to build the systems that drive the investment process.

In this role, you’ll help design, build, and enhance a range of high-impact trading and research platforms. Projects vary from core trading system development to front-office tooling, data-driven applications, and the use of machine learning across the investment workflow. It’s a fast-moving, highly technical environment where code quality, performance, and reliability matter. The team runs weekly sprints, uses modern engineering practices (PR reviews, rapid releases, continuous development), and has a strong track record of developing talent. We’ve partnered with this group and their CTO, for several years and have placed multiple engineers into the team, so can provide detailed insight into structure, expectations, and progression. The fund looks for low-ego, high-performing engineers who enjoy ownership, collaboration, and solving complex problems with pragmatic, commercial solutions. You’ll have direct interaction with PMs, quants, and the CTO, contributing across design, architecture, and production support.

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.

P

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

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.

Tech Environment

  • C# and.NET are central to the team’s core systems
  • Python is widely used across quant and data groups
  • Open to candidates from other OO backgrounds (C++, Java, Go) with strong fundamentals
  • Exposure to high-performance, low-latency, or business-critical systems is valuable
  • Financial markets experience is not essential, but interest in Fixed Income/Rates is beneficial

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Requirements

  • Strong academic background in Computer Science or related field
  • Excellent programming ability in C# and.NET
  • Experience with large or complex data sets
  • 1–5 years’ experience in a software engineering role
  • Interest in finance; exposure to fixed income or systematic environments a plus
  • Positive, pragmatic, collaborative mindset

Due to demand, this role is advertised anonymously. If preferred, submit a blank application and we will contact you before requesting a CV.

We can only respond to highly qualified candidates.

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Skills

C#
.NET
Python
Software Engineering
Data Analysis
Machine Learning
Collaboration
Problem Solving
Quantitative Analysis
Trading Systems
Performance Optimization
Low-Latency Systems
Financial Markets
Fixed Income
Systematic Environments

Location

London, England, United Kingdom

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