Octavius Finance
Quantitative Developer / Researcher – Systematic Equities - London

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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?
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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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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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.
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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