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

Jump Trading•New York, NY

13d•$200,000 - $250,000

About The Position

Jump Trading Group is seeking a Quantitative Researcher with a strong academic background at the PhD level in a mathematical or scientific discipline. The researcher will work closely with team members to develop models and trading strategies in systematic macro. Quantitative Researchers collect and analyze tens of thousands of datasets, identify patterns, and extract insights into financial markets. They use statistical analysis, machine learning, and data engineering to develop forecasts and predictive trading models. The role involves collaboration with scientists, traders, hardware and software developers, and market-facing business teams. Researchers own projects end to end, including predictive modeling, alpha research on new datasets, and improving models and systems behind live trading. Other duties may be assigned as needed.

Requirements

Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or another highly quantitative field.
Ability to form well-educated hypotheses, design rigorous tests, and draw statistically sound, generalizable conclusions.
Ability to explain research decisions, alternatives considered, and reasons for selecting an approach.
Experience conducting an in-depth research project with real-world data.
Programming experience in Python, including the ability to read, understand, and debug code written by others.
Communicative and collaborative working style, sharing results early and often and using mentors' time effectively.
Creativity and initiative to explore ideas beyond those suggested, with the judgment to bring the team along.
Perseverance and willingness to take intellectual risks in pursuing difficult research problems.
Reliable and predictable availability.

Nice To Haves

Fascination with and interest in advancing machine learning within the trading community.
Desire to work within a collaborative, team-driven environment.

Responsibilities

Collect and analyze datasets to identify patterns and insights into financial markets.
Apply statistical analysis, machine learning, and data engineering to develop forecasts and predictive trading models.
Collaborate with scientists, traders, hardware and software developers, and market-facing business teams.
Own research projects end to end, including predictive modeling, alpha research on new datasets, and improving models and systems behind live trading.
Perform other duties as assigned or needed.