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.
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Campus Quantitative Researcher (Full-Time) employer: Amsterdam Quant Society
Susquehanna is an exceptional employer for aspiring quantitative traders, offering a dynamic internship experience in the heart of London. With a strong emphasis on mentorship and hands-on project work, interns gain invaluable skills in ETF and options trading, programming, and game theory, all within a collaborative and innovative work culture that fosters personal and professional growth. The opportunity to return for a graduate programme further highlights our commitment to nurturing talent and providing a pathway for future success.
