Quantitative Trading Intern

Quant Blueprint LLC; Chicago (IL); On-site; USD 175,000 - 275,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical, dental, and vision insurance

Retirement plan with employer match

Paid parental leave

Wellness Programs

Job summary

Jump Trading Group seeks a Quantitative Researcher in Chicago, Illinois, to collect and analyze large data sets while collaborating closely with traders and developers. The ideal candidate will possess strong programming skills, particularly in C++, and have a background in mathematics or related fields.

This role emphasizes creative problem-solving, statistical model development, and machine learning. The position offers a competitive salary and various benefits including medical insurance, paid vacations, and a retirement plan with employer match.

Qualifications

• Creative thinkers who are driven and self-motivated.
• Strong programming skills in C++ within a Linux environment.
• Working knowledge of forecasting and data mining techniques.
• Experience developing statistical models in a trading environment.

Responsibilities

• Collect and analyze large data sets to extract insights.
• Collaborate with scientists, traders, hardware and software developers.

Skills

Creative thinking

C++ programming

Statistical analysis

Data mining techniques

Statistical models development

Machine learning

Python

R

Matlab

English communication

Education

Masters or PhD in Statistics, Physics, Mathematics

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.

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.

Skills You'll Need

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proven success with profitable trading strategies - Strong programming skills in C++ in a Linux environment
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
• Strong experience developing statistical models in a trading environment - Proven success working with large data sets and developing statistical models - Fascinated and interested in advancing machine learning within the trading community
• Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
• Masters or PhD in Statistics, Physics, Mathematics (or related subject)
• Desire to work within a collaborative, team-driven environment
• Reliable and predictable availability
• Excellent written and spoken English communication skills

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

Annual Base Salary Range: $175,000—$275,000 USD