CAREERS

Quantitative Researchers at Jump Trading collect data and analyze the global markets, seeking to uncover patterns and understand the complexities of the global financial markets. They leverage statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. Jump’s Quantitative Researchers collaborate extensively within their trading teams to create and optimize trading strategies and advance the sophistication and results of their research, as well as work with members of the firm in technology and business roles to contribute to leading electronic trading strategies. Other duties as assigned or needed.

Skills You'll Need:

• Creative thinkers who are driven, self-motivated and eager to solve challenging problems
• Proven success with profitable trading strategies along with building low latency trading system, feature engineering, market microstructure, model fitting, execution logics
• Strong programming skills in C++ in a Linux environment; familiarity with computer CPU architecture, memory management, operating system is a plus
• Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
• Strong experience using classical machine learning skills such as those in the Elements of Statistical Learning book, low level implementations of machine learning models in a trading environment
• Proven success working with large data sets and developing statistical models
• Masters or PhD in Statistics, Physics, Mathematics, Computer Science (or related subject) or at least 5+ years of relevant industry experience
• Excellent written and spoken English communication skills
• Reliable and predictable availability