Ncounter Technology Recruitment
Quantitative Developer

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Quantitative Developer (Python)
Location: London
Industry: Hedge Fund
Required Skills: Python, Research & Trading Technology
Building great trading strategies requires great engineering.
We're looking for an experienced Python Developer to work alongside Quantitative Researchers, designing and building the software that underpins research, analytics, and live trading. You'll join a highly technical environment where engineering quality, performance, and collaboration are valued just as highly as innovation.
This isn't a traditional application development role. You'll help create the tools, workflows, and platforms that enable researchers to move quickly from ideas to production, taking ownership throughout the full software lifecycle.
What you'll be doing
- Partnering with Quantitative Researchers to build software supporting research and trading
- Developing scalable Python applications and workflows
- Designing high-performance solutions for processing and analyzing large datasets
- Collaborating with engineering teams to build reusable software components
- Taking ownership from design through to deployment and ongoing improvement
- Supporting business-critical systems within a modern engineering environment
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.
Start with a chat, not a search bar
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.
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.
See breakdownIt 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.
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.
We're looking for
- Strong commercial Python development experience (4+ years)
- Degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a similar technical discipline
- Experience designing robust, scalable software
- Understanding of data processing, storage, and analysis
- Experience with modern software engineering practices including Git and Agile
- Excellent communication skills and the ability to work closely with highly technical stakeholders


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Desirable experience
- C++ or KDB+/q
- Quantitative or financial engineering experience
- CI/CD pipelines
- Logging and monitoring platforms
- Database technologies
- Software architecture and solution design
Why apply?
You'll work alongside some of the brightest engineers and quantitative researchers in the industry, solving complex technical problems that directly influence research and trading. This is an environment where ownership is encouraged, engineering standards are exceptionally high, and your work will have a genuine impact from day one.
If you enjoy solving difficult technical challenges with Python and want to work in a collaborative, high-performance engineering team, we'd love to hear from you.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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