Selby Jennings
Python Software Engineer | Trading Systems

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About the Role
Our client is 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.
Key Responsibilities
- Developing and maintaining production-grade Python applications.
- Building tools and services that support trading, research, and operational processes.
- Collaborating with traders and quantitative teams to improve system functionality and scalability.
- Contributing to the design of robust, low-latency, and highly available systems.
- Taking ownership of projects from design through deployment and ongoing support.
- Working within a fast-paced environment where technology plays a central role in driving business performance.
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.
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.
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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