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

Trading Interview; New York, Northern (NY, KY); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D

Voluntary Life & AD&D insurance

Retirement plan with employer match

Paid parental leave

Wellness Programs

Job summary

Jump Trading Group in New York seeks a Quantitative Researcher with a PhD in a highly quantitative field to develop models and trading strategies in systematic macro.

You will analyze tens of thousands of data sets, apply statistics, machine learning, and data engineering, and own research projects end to end while collaborating with traders, researchers, hardware and software developers. Annual base salary range: $200,000–$250,000 USD, with comprehensive benefits.

Qualifications

• PhD in a quantitative field required.
• Strong background in statistics, ML, and data analysis.
• Proficiency in Python for research workflows.
• Experience with real-world data and forecasting.

Responsibilities

• Own research projects end to end in macro strategies.
• Develop models and trading signals from large datasets.
• Collaborate with scientists, traders, hardware and software developers.
• Present results and defend methodology.

Skills

Python

Statistical analysis

Machine learning

Data analysis

Collaborative mindset

Education

PhD in Statistics/Mathematics/Physics/ML

Tools

Python

Job description

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 hypotheses, design rigorous tests, and draw statistically sound, generalizable conclusions. No matter your area, these are the fundamental aspects of a good researcher, and it is no different at Jump Trading.
• Ownership of your research: the ability to explain the choices you made, the alternatives you considered and rejected, and why your approach won. Every idea demands a premise, and every rejection deserves a reason
• 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
• 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
• Retirement plan with employer match
• Paid parental leave
• Wellness Programs

Annual Base Salary Range

$200,000 - $250,000 USD

This description was published by Jump Trading.