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

Jump Trading
🇺🇸New YorkStudentFull-time$200k–$250kPosted September 22, 2026

About the Role

Jump Trading Group is seeking a Quantitative Researcher with a strong academic background to a PhD level in a mathematical or science discipline. The role will involve working closely with other team members to develop models and trading strategies in systematic macro.

  • Collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets
  • Lean heavily on statistical analysis, machine learning, and data engineering skills, applying the results of research to forecasts and predictive trading models
  • Collaborate constantly with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of new ideas
  • 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

Responsibilities

  • Collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets
  • Apply statistical analysis, machine learning, and data engineering skills to research, forecasts and predictive trading models
  • Collaborate with other scientists, traders, hardware and software developers, and market facing business teams
  • 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
  • Develop models and trading strategies in systematic macro
  • Other duties as assigned or needed

Requirements

  • Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or any highly quantitative field
  • Systematic research thinking: the ability to form well-educated hypotheses, design rigorous tests, and draw statistically sound, generalizable conclusions
  • Ownership of your research: the ability to explain the choices you made, the alternatives you considered and rejected, and why your approach won
  • Experience conducting an in-depth research project with real-world data
  • Programming experience in Python, with the ability to read, understand, and debug code, including code you didn't write
  • Communicative and collaborative working style, sharing results early and often and treating mentors' time as a resource to use, not conserve
  • Creativity and initiative to explore ideas beyond those suggested to you, with the judgment to bring your team along as you do
  • Perseverance: successful research is the result of lots of failure and intellectual risk-taking, and a PhD is often proof that you can stay with a hard problem for years without quitting
  • Fascinated and interested in advancing machine learning within the trading community
  • Desire to work within a collaborative, team-driven environment
  • Reliable and predictable availability
  • Strong academic background to a PhD level in a mathematical or science discipline

What You'll Get

  • $200k–$250k base salary
  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care options
  • Employer Paid Group Term Life and AD&D Insurance
  • Voluntary Life & AD&D insurance
  • Paid vacation plus paid holidays
  • Retirement plan with employer match
  • Paid parental leave
  • Wellness Programs