PhD Quantitative Researcher - Macro Trading & ML

P2P; New York (NY); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA

Employer Paid Group Term Life and AD&D

Voluntary Life & AD&D insurance

Paid vacation and holidays

Retirement plan with employer match

Paid parental leave

Wellness programs

Job summary

Jump Trading Group is seeking a Quantitative Researcher at PhD level to develop models and trading strategies in systematic macro. You will own projects end to end, collaborating with scientists, traders, and software developers to push for the best expression of new ideas.

The role emphasizes rigorous statistical analysis, machine learning, and data engineering with Python, in a team-driven environment in New York. Competitive base salary is offered with discretionary bonus eligibility.

Qualifications

• PhD or near completion in a highly quantitative field.
• Ability to form hypotheses, design tests and draw sound conclusions.
• Own research and explain choices and rationale.
• Experience with real-world data in research projects.
• Proficient Python to read, understand and debug code.
• Collaborative, communicative and mentor-friendly style.
• Initiative to explore ideas with team buy-in.
• Perseverance to tackle hard problems over years.
• Interest in advancing machine learning within trading.
• Desire to work in a team-driven environment.
• Reliable and predictable availability.

Responsibilities

• Own research projects end-to-end in predictive modeling and alpha research.
• Develop models and trading strategies for systematic macro.
• Collaborate with scientists, traders, hardware/software teams and business units.

Skills

Statistical analysis

Machine learning

Data engineering

Python programming

Communication

Collaboration

Research independence

Problem solving

Education

PhD in Statistics/Mathematics/Physics/Machine Learning

Tools

Python

Git

Pandas/Numpy

Job description

Jump Trading Group is seeking a Quantitative Researcher at PhD level to develop models and trading strategies in systematic macro. You will own projects end to end, collaborating with scientists, traders, and software developers to push for the best expression of new ideas.

The role emphasizes rigorous statistical analysis, machine learning, and data engineering with Python, in a team-driven environment in New York. Competitive base salary is offered with discretionary bonus eligibility.