Campus Quantitative Researcher (M1/M2 Intern)

Amsterdam Quant Society; Greater London; On-site; GBP 13,000 - 20,000; Full time

Job summary

Jump Trading seeks a Campus Quantitative Researcher intern in London or Paris. You will undertake a mentored research project and rotate through multiple trading teams while gaining training in ML, markets, C++, statistics, and signal generation.

The program is designed for M1/M2 students and welcomes applicants from various academic backgrounds. No prior finance knowledge is required, and strong learning drive is valued.

Qualifications

• Academic requirement for an M1/M2 research internship.
• Strong programming and/or quantitative skills in statistics, data mining, mathematics, machine learning, or related areas.
• Strong drive to learn and an entrepreneurial mindset.
• Reliable and predictable availability.

Responsibilities

• Complete an intensive research project with a mentor from a Jump trading team.
• Receive training in machine learning, trading and market mechanics, C++, statistics, and signal generation.
• Complete trading simulations.
• Rotate across several trading teams, with a project and mentorship in each rotation.

Skills

Programming

Statistics

Machine Learning

Data Mining

Education

M1/M2 program

Tools

C++

Job description

Campus Quantitative Researcher (M1/M2 Intern)

M1/M2 quant research internship with a mentored research project, training in ML, markets, C++, statistics, signal generation, and trading-team rotations.

Designed for students whose programme requires an M1/M2 research internship, including students from French schools such as École Polytechnique.

Programme

• Complete an intensive research project with a mentor from a Jump trading team.
• Receive training in machine learning, trading and market mechanics, C++, statistics, and signal generation.
• Complete trading simulations.
• Rotate across several trading teams, with a project and mentorship in each rotation.

What Jump looks for

• An academic requirement for an M1/M2 research internship.
• Strong programming and/or quantitative skills in statistics, data mining, mathematics, machine learning, or related areas.
• Strong drive to learn and an entrepreneurial mindset.
• Reliable and predictable availability.

No prior finance or trading knowledge is required.

Details

Role information

Location London; Paris

Job type Internship

Category Quant Research

Company

Chicago, United States

Global quantitative trading firm combining research, advanced engineering, AI/ML, and high-performance infrastructure across markets and time horizons.