Campus Quantitative Researcher | Trading Team PhD/Postdoc (Full-Time)

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. We are seeking a Quantitative Researcher with a strong academic background to a PhD level in a mathematical or science discipline. The role will involve you working closely with other team members to develop models and trading strategies in systematic macro. 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. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. You’ll own research projects end to end, in areas such as predictive modeling, alpha research on new datasets, and improving the models and systems behind live trading. Other duties as assigned or needed. Skills You’ll Need: Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or any highly quantitative field Systematic research thinking: the ability to form well-educated hypothe