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Squarepoint

Quantitative Developer

London
Posted about 17 hours ago
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Position Overview

We are seeking experienced Quantitative Developers to work closely with Traders and Quantitative Researchers to build the infrastructure powering semi-systematic trading strategies.

This role sits at the intersection of trading, quantitative research, and software engineering. The successful candidate will own trader-facing platforms and workflows, transforming trader insight and discretionary decision-making into scalable, systematic processes.

You will work directly with traders to understand how they generate ideas, manage risk, and execute trades, and will build the tools, analytics, and infrastructure that allow those workflows to operate efficiently and consistently. Strong communication skills and a genuine interest in trading are essential.

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

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.

Responsibilities

  • Own and evolve trader-facing platforms, including live screeners, analytics dashboards, low-latency GUIs, and workflow tooling.
  • Design systems that capture, store, and analyze trader inputs and decisions.
  • Develop backtesting and simulation frameworks.
  • Partner directly with traders and quantitative researchers to identify opportunities for systematization and workflow automation.
  • Drive projects from concept through production deployment, iterating rapidly based on trader feedback.
  • Contribute to platform architecture, code quality, testing, and operational excellence.

Requirements

  • Degree in Engineering, Computer Science, Mathematics, Physics, or a related quantitative discipline.
  • 4+ years of professional software development experience (ideally using Python).
  • Experience building production trading systems, analytics platforms, or trader-facing applications.
  • Strong software engineering fundamentals, including testing, maintainability, and system design.
  • Ability to work effectively with traders and researchers in a fast-paced environment.
  • Interest in financial markets and quantitative trading.
  • Excellent communication skills and ability to bridge technical and non-technical stakeholders.

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Preferred Qualifications

  • Experience on a semi-systematic, hybrid, or discretionary trading desk.
  • Knowledge of derivatives, volatility, commodities, or market-making workflows.
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Skills

Python
System Design
Quantitative Trading
Backtesting
Simulation Frameworks
Low-latency GUIs
Software Engineering
Financial Analytics
Risk Management
Platform Architecture

Location

London, England, United Kingdom

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