Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness creativity intellectual honesty and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump research outcomes drive more than superior risk adjusted returns. We design develop and deploy technologies that change our world fund start-ups across industries and partner with leading global research organisations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders quantitative researchers and engineers who work together to examine the global markets seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills using the results of their research to make forecasts and develop profitable predictive trading models.
What you will do:
We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design tools and infrastructure. Potential projects may target any area of the quantitative research and monetisation process. We believe that successful research efforts require a fluid mix of skills including ML expertise engineering pragmatism statistics and market intuition.
Other duties as assigned or needed.
Skills Youll Need:
Bonus Points
INTERNATIONAL STUDENTS are encouraged to apply.
Required Experience:
Intern
Campus AI Researcher, PhDPostdoc (Intern) • London, England, UK
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