Graduate Quant Researcher: Predictive Models for Trading

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

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++.