C# Developer - Front Office Engineering | Hedge Fund - London
- london, england, United Kingdom
- Job type not listed
- £70 - £110 Per Hour
Job Description
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.
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
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