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Harrington Starr

Quant Software Engineer

London
£120k/yr
Posted about 22 hours ago
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Quantitative Developer – Hedge Fund

London | Hybrid | Python | Quant Research | Systematic Trading

I'm working with an established London-based hedge fund that is building a next-generation, AI-enabled quantitative equity investment platform.

They're looking for a Quantitative Developer with a software background to join the founding team, sitting directly between quantitative research and software engineering. You'll work closely with senior researchers and investment professionals, taking ideas from initial hypothesis through research, backtesting and ultimately into production trading systems.

What you'll be doing

  • Researching and evaluating quantitative trading signals
  • Building backtesting and simulation infrastructure
  • Developing production-quality Python research and trading systems
  • Building and maintaining large financial and alternative datasets
  • Developing reusable research pipelines and analytical tooling
  • Working on portfolio construction, position sizing and risk
  • Monitoring live signals and investigating performance
  • Using AI agents and LLMs within quantitative research and automation
  • Working directly with Quant Researchers, Portfolio Managers and the wider investment 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.

P

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

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.

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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.

What we're looking for

  • Strong Python development skills
  • Experience with quantitative research and backtesting
  • Strong understanding of statistics and working with large datasets
  • Strong software engineering fundamentals
  • Experience building reusable research/data pipelines
  • Strong academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or similar
  • Genuine interest in financial markets and quantitative investing
  • Ability to take ambiguous problems and independently determine how to solve them

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Experience within a hedge fund, asset manager, prop trading or systematic investment environment is advantageous, as is exposure to cloud, Kubernetes, workflow orchestration, SQL, distributed data processing and AI/LLM tooling.

Up to £120,000+ base + bonus | London

If you're a strong Python/Quant Developer who wants significant ownership and the opportunity to help build a quantitative investment platform from an early stage, apply or message me directly for more information.

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Skills

Python
Quantitative Research
Backtesting
Statistics
Software Engineering
Data Pipelines
Portfolio Construction
Risk Management
AI Agents
LLMs
SQL
Kubernetes
Cloud Computing
Distributed Data Processing
Workflow Orchestration

Location

London, England, United Kingdom

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