Campus Quantitative Researcher | Trading Team PhD/Postdoc (Full-Time) at Jump Trading | NY, US | Rezi

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

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

Jump Trading · NY, US

2 days ago

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

Jump Trading · NY, US

2 days ago
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About the Role

Jump Trading Group is committed to world-class research, empowering exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries and apply cutting-edge research to global financial markets. We are seeking a Quantitative Researcher with a strong academic background to a PhD level in a mathematical or science discipline to develop models and trading strategies in systematic macro.

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 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.

Requirements

  • Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or any highly quantitative field.
  • Demonstrated systematic research thinking: ability to form hypotheses, design rigorous tests, and draw statistically sound conclusions.
  • Demonstrated ownership of research: ability to explain choices made, alternatives considered, and the reasoning behind the chosen approach.
  • Experience conducting an in-depth research project with real-world data.
  • Programming experience in Python, with the ability to read, understand, and debug code.
  • Communicative and collaborative working style, sharing results early and often.
  • Creativity and initiative to explore ideas beyond those suggested, with the judgment to involve the team.
  • Perseverance to stay with a hard problem for years.
  • Fascination and interest in advancing machine learning within the trading community.
  • Desire to work within a collaborative, team-driven environment.
  • Reliable and predictable availability.

Skills

  • Statistical analysis
  • Machine learning
  • Data engineering
  • Python programming
  • Systematic research thinking
  • Research ownership
  • Collaboration
  • Creativity
  • Initiative
  • Perseverance

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • PhD level

Education Level

  • PhD

Salary/Compensations

  • $200,000—$250,000 USD

Benefits

  • 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

About the Company

  • 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.