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mthree

Python Developer - Front Office

London
Posted 27 days ago
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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.

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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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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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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

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Skills

Python
Performance
Scalability
Algorithms
Data Structures
System Design
Distributed Systems
Event-Driven Systems
Kafka
Messaging
APIs
Data Engineering
SQL
NoSQL
Pipelines
Large Datasets

Location

London, England, United Kingdom

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