Campus Quantitative Researcher (Full-Time)

Amsterdam Quant Society; Greater London; Remote; GBP 45,000 - 65,000; Full time

Job summary

Jump in London is hiring a Campus Quantitative Researcher for a full-time graduate role focused on building predictive models and automated trading algorithms. You will receive in-house training covering trading mechanics, statistics, and research processes used to generate signals.

You will work across quantitative research, data science, algorithmic trading, and software development as needed, using your strong analytical and programming skills in R, Python, and C++.

Qualifications

• Undergraduate or graduate study in a technical field.
• Strong analytical, mathematical, and programming ability.
• Skills in statistics, data mining, mathematics, machine learning, or related areas.

Responsibilities

• Build predictive models from large datasets.
• Develop algorithms that execute trades automatically across global exchanges.
• Test research ideas using Jump's computing resources.
• Work across quantitative research, data science, algorithmic trading, and software development as needed.

Skills

R

Python

C++

Machine Learning

Statistics

Education

Technical field degree

Job description

Campus Quantitative Researcher (Full-Time)

Graduate quant research role building predictive models and automated trading algorithms with training in markets, statistics, R, Python, C++, machine learning, and signal research.

In-house training covers trading and market mechanics, statistics, R, Python, C++, machine learning, and the research process used to generate signals.

What you will do

• Build predictive models from large datasets.
• Develop algorithms that execute trades automatically across global exchanges.
• Test research ideas using Jump's computing resources.
• Work across quantitative research, data science, algorithmic trading, and software development as needed.

What Jump looks for

• Undergraduate or graduate study in a technical field.
• Strong analytical, mathematical, and programming ability.
• 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; Amsterdam

Job type Graduate

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.