Overview
Join to apply for the
Quantitative Researcher, Trading Team
role at
Jump Trading Group .
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 emphasizes fearlessness, creativity, intellectual honesty, and a relentless competitive streak.
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 composed of traders, quantitative researchers, and engineers who collaborate to understand global markets and develop profitable predictive trading models using rigorous statistical analysis and data mining.
What You'll Do
Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns, and extract insights into the complexities of financial markets.
You will apply statistical analysis, machine learning, and data engineering techniques to forecast and develop predictive trading models.
You will collaborate with other scientists, traders, hardware and software developers, and market-facing business teams to advance new ideas.
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
Strong programming skills in C++ in a Linux environment
Working 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 in a trading environment
Proven success working with large data sets and developing statistical models
Fascinated and interested in advancing machine learning within the trading community
Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
Masters or PhD in Statistics, Physics, Mathematics (or related subject)
Desire to work within a collaborative, team-driven environment
Excellent written and spoken English communication skills
Reliable and predictable availability
If you are currently a student or recent graduate, please see our Campus postings which offer both intern and full-time opportunities.
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