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Jump Trading

Campus Quantitative Researcher (M1/M2 Intern)

Amsterdam
Posted 1 day ago
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Jump Trading is committed to world class research.

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems.

About the Role:

We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world.

At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.

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

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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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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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

As an M1/M2 research intern, you’ll first undertake an intensive research project, during which time you’ll work closely with a mentor from one of our trading teams. Possible research topics are varied and can be tailored to suit specific interests or academic requirements.

Then, you enter into a hands-on training program focused on enhancing your knowledge of trading, programming, and quantitative analysis. The training consists of in-house courses and trading simulation developed and delivered by our own experienced researchers, traders, and developers. Topics include Machine Learning, trading / market mechanics, C++, statistics, and our research process for signal generation.

Finally, you’ll have the opportunity to rotate and work with several trading teams. During each rotation you’ll work on a project with the trading team while being mentored by experienced quant researchers, traders, and developers.

Other duties as assigned or needed.

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Who Should Apply?

This program is specifically designed for students from French schools that require the completion of the M1/M2 research internship (e.g. Ecole Polytechnique).

Ideal candidates have a strong drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).

No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need. Reliable and predictable availability required.

Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more.

If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.

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Skills

Programming
Quantitative Analysis
Statistics
Data Mining
Mathematics
Machine Learning
C++
Predictive Modeling
Algorithm Development

Location

Amsterdam, North Holland, Netherlands

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