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Selby Jennings

Senior Python Engineer - Systematic Trading & Analytics

London
£120k – £150k/yr
Posted about 21 hours ago
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Responsibilities

  • Design, develop and maintain production-grade Python applications.
  • Build scalable infrastructure supporting large datasets and analytical workloads.
  • Develop software used for financial analytics, research, and investment decision-making.
  • Partner closely with quantitative researchers and investment teams to deliver technical solutions.
  • Drive improvements in system architecture, reliability, scalability, and performance.
  • Own projects throughout the full software development lifecycle.
  • Contribute ideas, technical leadership, and engineering best practices across the team.

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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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.

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Strong

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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Strong

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Requirements

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  • Strong software engineering background with significant commercial experience, ideally gained within a hedge fund, asset manager, proprietary trading firm, investment bank, or financial technology environment.
  • Expert-level Python development skills with a proven track record of building complex, large-scale production systems.
  • Experience developing data-intensive platforms, analytics infrastructure, market data, pricing, research, or quantitative technology applications.
  • Strong understanding of software architecture, system design, and engineering best practices.
  • Exposure to options, derivatives, volatility markets, or quantitative investment environments, with the ability to engage effectively with researchers, traders, portfolio managers, and quantitative teams.
  • Experience building technology that supports financial analytics, systematic trading workflows, or quantitative research processes would be highly beneficial.
  • Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
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Location

London, England, United Kingdom

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