Quantitative Researcher Intern

Why Work with Us

Your Role

Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex data sets into actionable insights. You will apply rigorous statistical and machine-learning methodologies to diverse financial datasets, develop innovative approaches to understanding risk and returns, and design strategy frameworks leveraging first principles from economics and other fields.

What We’re Looking For

We seek ambitious and talented problem-solvers with strong quantitative backgrounds. No financial knowledge is expected. Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge research and analysis. We value team members who communicate clearly, have strong critical analysis skills, and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit setting excites you, we’d love to get to know you.

The ideal candidate will possess most of the following:

• PhD, master’s, or bachelor’s degree in computer science, statistics, physics, or a related quantitative field
• Proven track record developing sophisticated predictive models
• Strong programming skills, including mastery of Python for data analysis
• Knowledge of statistical and machine learning modeling frameworks
• Strong problem-solving skills and research acumen
• Strong communication skills to articulate complex technical concepts
• Experience working with large data sets and computationally intensive projects

Job Compensation Range

The base salary range for this role is prorated based on the full-time salary range of $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research’s comprehensive package. We will provide additional detail about compensation and benefits during our hiring process.

Applicant Privacy

Please review our Applicant Privacy Notice for information about how we handle candidate information.

Accommodations

If you need a reasonable accommodation to participate in any part of our application or interview process, please contact [email protected]. We’ll work with you to support your participation.

We are an equal opportunity employer and prohibit discrimination and harassment without regard to race, religion, age, sex, or any other characteristic protected by law.

If you have any questions, please contact us at [email protected].