McGregor Boyall
Senior Low Latency Rust Engineer

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Senior Low Latency Rust Engineer - Electronic Trading
Location: London
Working model: Hybrid - max 3 days per week in office
We are assisting with the hire of an experienced low-latency engineer to join a specialist team building frameworks, libraries and performance tooling used across a large global electronic trading environment.
This is not a traditional BAU development role attached to one desk or application. The team works across multiple trading platforms, solving complex performance problems and helping define how latency-sensitive systems should be engineered.
Approximately 90% of the role is hands-on coding, with a major focus on Rust alongside modern Java.
What you’ll work on
- Low-latency Rust and Java frameworks
- Event-sourced systems operating in the 10-100 microsecond range
- Market-data replay, backtesting and simulation tooling
- High-performance market-data processing
- Linux, kernel and systems-level performance optimisation
- TCP/IP networking and kernel-bypass technologies
- Performance profiling, benchmarking and latency reduction
- Frameworks and tooling used across 100+ technology teams
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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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 we’re looking for
You’ll ideally come from a background in algorithmic trading, electronic trading, market data or another genuinely latency-sensitive environment. Financial Services background is not crucial.
Relevant experience could include:
- Rust, modern Java or C++
- Low-latency / high-throughput systems
- Algorithmic or electronic trading
- Market-data technologies
- Linux internals and kernel behaviour
- TCP/IP networking
- Solarflare / OpenOnload or similar kernel-bypass technologies
- KDB or other time-series databases
- Performance tuning and optimisation


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You do not need to match every technology listed. The key requirement is genuine depth in high-performance systems engineering and an ability to understand latency across the full stack.
Why consider it?
The standout here is the combination of:
- Rust + microsecond-level performance engineering + large-scale production electronic trading.
You’ll remain deeply hands-on while working on engineering problems that sit underneath multiple trading platforms, rather than maintaining a single application.
Compensation: Highly competitive
Location: London
Working model: Hybrid, maximum 3 days per week in office
If you have a strong low-latency engineering background and would like to hear more, get in touch.
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