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Python Developer - Front Office

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Global Banking & Markets | Front Office | High-Impact, Low Latency Systems
A world-leading investment bank is hiring a Python Engineer to join its Front Office FX Options Technology team - one of the most business-critical engineering environments in the firm.
You’ll sit at the heart of the trading floor, partnering directly with traders, quants, and sales to build low-latency, high-performance trading systems that influence real-time market decisions.
If you’re motivated by solving complex problems at scale, building systems where microseconds matter, and seeing your code directly drive P&L - this is that opportunity.
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.
What You’ll Work On Architect and build real-time pricing, eTrading, and market-making systems used globally Design and optimise latency-sensitive trading algorithms and analytics pipelines Develop high-throughput data platforms for market data ingestion and predictive modelling Partner directly with front-office stakeholders to translate trading strategies into production systems Improve market connectivity, execution performance, and system resilience Drive engineering excellence across distributed systems, scalability, and performance tuning


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What We’re Looking For Strong Python engineering expertise with a focus on performance and scalability Deep understanding of algorithms, data structures, and system design Experience building distributed, event-driven systems (Kafka, messaging, APIs, etc.) Solid knowledge of data engineering concepts (SQL/NoSQL, pipelines, large datasets) Track record of delivering production-grade systems in fast-paced environments Ability to operate close to the business with strong communication and ownership Background in financial markets, trading systems, or FX is beneficial - but strong engineers from other domains are encouraged
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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