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Octavius Finance

Quantitative Developer / Researcher – Systematic Equities - London

London
Posted about 23 hours ago
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We are working with an established investment manager seeking a Quantitative Developer/Researcher to take ownership of the technology and data infrastructure supporting a systematic equity strategy.

Working directly with the Systematic Portfolio Manager and supported by a Software Engineer, you will build and develop the platform underpinning the team’s research and live investment process. This is a hands-on role combining platform development, data engineering, and quantitative research, with responsibility extending well beyond writing code.

You will own production and data-driven processes from development through to deployment, monitoring, and quality assurance. This includes:

  • Building reliable data pipelines and research tools
  • Deploying code through established release cycles
  • Responding quickly when live systems or data processes are not operating as expected
  • Monitoring production systems and investigating data or performance issues
  • Improving the speed, reliability, and reproducibility of the research process
  • Working closely with the Portfolio Manager to translate research requirements into robust technical solutions

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?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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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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The role will include:

  • Building and developing a stable, scalable quantitative research platform
  • Creating production-quality systems and tools on top of large financial datasets
  • Developing and maintaining data pipelines, research workflows, and live processes
  • Deploying code and contributing to structured release cycles
  • Monitoring production systems and investigating data or performance issues
  • Improving the speed, reliability, and reproducibility of the research process
  • Working closely with the Portfolio Manager to translate research requirements into robust technical solutions

We are looking for:

  • Strong Python development skills
  • Experience building and supporting stable, production-grade platforms
  • Extensive experience working with large and complex datasets
  • Ownership of production processes, including coding, deployment, monitoring, and QA
  • Experience with version control, testing, and controlled software releases
  • The ability to diagnose and respond to issues within live systems
  • An understanding of quantitative investment research and how technology supports the investment process
  • A proactive and accountable approach, with the ability to work directly with investment professionals

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Experience within a hedge fund, asset manager, systematic investment team, or trading environment would be highly advantageous. Familiarity with Kubernetes, GitHub, cloud infrastructure, or AI-assisted development tools would also be useful.

This is an opportunity to take meaningful ownership of a growing quantitative platform and help shape the infrastructure supporting an evolving investment and research process.

To apply, please send your CV to quant@octaviusfinance.com.

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Skills

Python
Data Engineering
Quantitative Research
Platform Development
Version Control
Production Monitoring
Quality Assurance
Data Pipelines
Software Release Cycles
Financial Datasets
Kubernetes
GitHub
Cloud Infrastructure
AI-assisted Development Tools
Systematic Equities

Location

London, England, United Kingdom

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