Campus Quantitative Researcher — Data Science Meets Trading

Jump Trading; New York, Chicago (NY, IL); On-site; USD 270,000 - 330,000; 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 paid holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

Job summary

Jump Trading Group seeks talented individuals for roles in quantitative research, data science, trading, and software development. You will join a program that blends training with hands-on work across global markets, building predictive models and automated trading strategies.

The team values curiosity, rigorous analysis, and collaboration to drive innovation in financial markets. Ideal candidates have strong programming and quantitative skills in statistics, data mining, mathematics, and

Qualifications

• Strong programming and quantitative analysis skills.
• No prior finance knowledge required; training provided.
• Background in Computer Science, Mathematics, Physics, or related fields is a plus.

Responsibilities

• Build predictive models from large datasets and develop trading algorithms.
• Collaborate with traders, quants, and engineers to deploy models in production.
• Participate in in-house training programs and ongoing skill development.

Skills

Python

C++

Machine learning

Statistics

Data mining

Mathematics

Job description

Jump Trading Group seeks talented individuals for roles in quantitative research, data science, trading, and software development. You will join a program that blends training with hands-on work across global markets, building predictive models and automated trading strategies.

The team values curiosity, rigorous analysis, and collaboration to drive innovation in financial markets. Ideal candidates have strong programming and quantitative skills in statistics, data mining, mathematics, and