Campus Quantitative Researcher (M1/M2 Intern)

P2P; Paris; Sur place; EUR 13 392 - 20 088; Plein temps

Résumé du poste

Jump Trading seeks highly motivated students for an M1/M2 research internship. You will join a program that blends quant research, data science, and software development to build predictive models and trading algorithms. Mentored research will lead into hands-on training across trading, programming, and quantitative analysis.

The program includes in-house courses, trading simulations, and rotations with several trading teams to apply your skills and learn industry practices.

Qualifications

• Strong programming skills and quantitative analysis (statistics, data mining).
• Interest in machine learning and quantitative research for trading.
• Eligibility for M1/M2 research internship requirements.

Responsabilités

• Undertake an intensive research project under a mentor from a trading team.
• Enter a hands-on training program on trading, programming, and analysis.
• Rotate across multiple trading teams and contribute to projects.

Connaissances

Programming

Quantitative analysis

Machine learning

Formation

M1/M2 research internship candidate

Outils

C++

Description du poste

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.

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.

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.