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++.
#J-18808-Ljbffr
Graduate Quant Researcher: Predictive Models for Trading 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.
