Selby Jennings
Python Software Engineer | Quant Trading

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Our client are a technology-driven trading firm operating across global financial markets. They develop and run systematic and market-making strategies spanning multiple asset classes, supported by a sophisticated in-house technology platform built for real-time pricing, execution and risk management.
As part of the continued growth of their London technology team, our client is looking to hire a Python Software Engineer to work closely with traders, quantitative researchers and fellow engineers on the development of business-critical trading systems. The role offers broad exposure across the trading stack within a collaborative, highly technical environment with close interaction across international teams.
The Role:
As a Python Software Engineer, you will be responsible for designing, building and enhancing software that supports trading, market data, risk and operational workflows. You will take ownership of key projects, contribute to the evolution of the firm's core technology platform and work directly alongside front-office stakeholders to deliver scalable, high-performance solutions.
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements:
- Strong commercial experience developing software in Python.
- Experience building and supporting production systems on Linux environments.
- Good understanding of software engineering best practices, including testing, reliability and maintainability.
- Experience working with relational databases such as PostgreSQL or MySQL.
- Strong problem-solving skills and the ability to work independently on complex technical challenges.
- Excellent communication skills and a collaborative approach to development.
- Degree in Computer Science, Mathematics, Engineering or a related technical discipline.


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Desirable:
- Previous experience within electronic trading, quantitative finance or other high-performance technology environments.
- Exposure to market data, trading systems, risk platforms or real-time distributed systems.
- Experience working closely with quantitative researchers, traders or front-office users.
What's on Offer:
- Opportunity to join a highly technical and collaborative engineering team.
- Significant ownership and autonomy from day one.
- Direct interaction with front-office stakeholders and quant teams.
- Competitive compensation and benefits package.
- Exposure to complex engineering challenges within a fast-moving trading environment.
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