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Jump Trading Group is dedicated to world class research. We empower exceptional talent in the fields of Mathematics, Physics, and Computer Science to push boundaries and apply their research to global financial markets. Our culture is unique, requiring constant innovation and collaboration. Our research outcomes drive our technology and partnerships across industries and academia.
The quantitative trading teams at Jump Trading data analysis and analyze global markets, to understand complexities of products traded on exchanges. Their work leads to forecasts and models for predictive trading strategies.
What You'll Do:
Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. They are their extensive skills in statistical analysis, machine learning, and data engineering, applying findings to their trading models. Which researchers collaborate globally across disciplines to push the best expression of new ideas. Other duties as assigned.
Skills You’ll Need:
* Proven success with a thorough understanding of profitable trading strategies
* Strong programming skills in C++/Python in a Linux work environment
* Practical knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines
* Strong experience developing statistical models while in an active trading environment
* Proven success working with large data sets to develop stat models
* Fascinated and interested in advancing machine learning in trading community
* Strong familiarity of Python, R or MATLAB, with development skills
* Graduate degree in Statistics, Physics, or Mathematics
* Desire to work in a collaborative, team-driven environment
* Reliable and predictable availability
Benefits include:
- Private Medical and Dental Insurance
- Travel and Medical benefits
- Group Life insurance and pension schemes
- Income protection
- Paid Parental Leave
- Commuter and cycle schemes