Mondrian Alpha
Software Developer (.NET/C#) – Leading Multi-Strat Hedge Fund – Excellent Compensation + Benefits

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I'm working with a leading systematic hedge fund that is seeking an experienced C#/.NET Software Developer to join its Quantitative Development team in London.
This is a highly technical backend engineering role focused on building the firm's next-generation platform for calibrating, publishing and distributing live and end-of-day curve and volatility surface models used across the investment business.
Working alongside a small, highly experienced quant development team, you'll play a key role in designing scalable, resilient distributed services that sit at the heart of the firm's research and trading infrastructure. You'll be responsible for extending the platform's modular architecture, improving system reliability and helping deliver high-quality market data and quantitative models to investment teams across the business.
The role is heavily focused on software engineering excellence rather than quantitative modelling, making it ideal for an experienced backend developer with strong financial markets knowledge who enjoys building robust, high-performance systems.
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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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.
Responsibilities
- Design, develop and enhance a modular platform for publishing live and end-of-day curve and volatility surface models.
- Build scalable backend services using C#, F# and modern.NET / ASP.NET Core technologies.
- Develop new platform capabilities with a strong focus on extensibility, resilience and clean software architecture.
- Collaborate closely with Quantitative Developers, researchers and infrastructure teams to deliver robust production systems.
- Build monitoring, anomaly detection and model quality tooling to improve platform reliability.
- Help deploy distributed services into production while improving observability and operational resilience.
- Provide technical support and continually enhance the platform based on business feedback.
Requirements
- 5+ years' commercial software development experience.
- Strong C# and modern .NET development skills.
- Experience building distributed systems using event-driven architectures or message buses.
- Good understanding of financial markets; exposure to market data platforms is highly advantageous.
- Experience with ASP.NET Core and modern backend service design.
- Familiarity with DevOps practices, CI/CD and automated deployment.
- Experience with Linux, Docker and container orchestration technologies is advantageous.
- Excellent communication skills and a passion for building clean, scalable software.


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My client offers an exceptional compensation package alongside the opportunity to work on business-critical technology within one of the industry's leading quantitative investment firms. You'll join a collaborative engineering environment where technical excellence is genuinely valued and have direct ownership over systems used across the investment platform.
To apply, either respond to this advert or send your CV directly to sasha.duquesne@mondrian-alpha.com
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