Quantitative Research Scientist – Macro Trading (PhD/Postdoc)

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

Benefits offered by this job

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D

Voluntary Life & AD&D insurance

Paid vacation plus holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

Job summary

Jump Trading Group seeks a Quantitative Researcher with a PhD in a highly quantitative field to develop models and trading strategies in systematic macro. You will work closely with scientists, traders, and software engineers to push research into production.

Expect to analyze tens of thousands of data sets, apply statistics and machine learning, and own projects from idea to deployment in a collaborative, fast-paced environment. Salary reflects the US market.

Qualifications

• Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or any highly quantitative field.
• Experience with real-world data and rigorous testing.
• Strong ability to read, understand, and debug Python code.

Responsibilities

• Own research projects end to end in areas such as predictive modeling and alpha research.
• Develop models and trading strategies for systematic macro.
• Collaborate with scientists, traders, hardware and software developers, and business teams.
• Analyze large data sets and apply statistical analyses to forecasting.

Skills

PhD in quantitative field

Python programming

Research ownership

Statistics & ML

Data analysis

Communication

Collaboration

Creative initiative

Reliability

Education

PhD in quantitative field

Tools

Python

Job description

Jump Trading Group seeks a Quantitative Researcher with a PhD in a highly quantitative field to develop models and trading strategies in systematic macro. You will work closely with scientists, traders, and software engineers to push research into production.

Expect to analyze tens of thousands of data sets, apply statistics and machine learning, and own projects from idea to deployment in a collaborative, fast-paced environment. Salary reflects the US market.