Campus Quantitative Trader (Intern)

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 incenting 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 organizations 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.

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Quantitative Trader Internship (Singapore)

*Candidates should be interested in working in Singapore for their full-time job after graduation.

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About the Role: 

Our quantitative trading internship is an intensive 10-week program designed to enhance your quantitative and programming skills and understanding of financial markets. Our goal is to give you the experience of what it’s like to be a full-time quant trader at Jump.

At Jump our people contribute to trading teams in the following roles or a blend of all three: quant trader, quantitative researcher, and software developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies, market mechanics, statistics, and our research process for signal generation.

Applying lessons from training, you will first work with fellow interns to develop your own predictive models and automated trading strategies for live trading.

Then you’ll have the opportunity to rotate and work with several trading teams. During each rotation you’ll work on a project with the trading team while being mentored by experienced traders, quant researchers, and developers. Other duties as assigned or needed. 

Who Should Apply?

Ideal candidates will have:

• Outstanding skills in probabilistic thinking and mathematical reasoning
• Competitive spirit and uncommon drive to learn and improve
• Programming experience 
• Appetite for risk-taking
• Demonstrated interest in financial markets 

Reliable and predictable availability required

 

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Last updated on Aug 15, 2024