Quantitative Researcher - Intern

New York$200k – $300kPosted 10 days ago

Role Overview

Sevenresearch is hiring a Quantitative Researcher - Intern. This is a internship role in New York. Part of Sevenresearch's Trading hiring, posted last week. The posted range is $200k to $300k. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Why Work with Us

Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure.

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 fist 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.

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 careers@sevenresearch.com.

About Sevenresearch

Sevenresearch

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Frequently Asked Questions

How do I apply for the Quantitative Researcher - Intern position at Sevenresearch?

Use the Apply button above to submit your application directly to Sevenresearch. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Quantitative Researcher - Intern position at Sevenresearch located?

This position is based in New York. Sevenresearch has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

How much does the Quantitative Researcher - Intern role at Sevenresearch pay?

Sevenresearch has posted a compensation range of $200k to $300k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.

When was the Quantitative Researcher - Intern role at Sevenresearch posted?

This role was posted on July 1, 2026 (10 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.