Quantitative Research Intern 2027

Voloridge Investment Management is recruiting for Quantitative Research Intern 2027 in Jupiter, FL. This listing was last seen on the firm's own job board on August 22, 2026.

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The role, as Voloridge Investment Management describes it, published on June 11, 2026 and reproduced from their job board:

Voloridge Investment Management was founded by David Vogel in 2009 and is based in Jupiter, FL. We incorporate advanced data science and mathematics into our systematic, market neutral investment strategies to exploit alpha opportunities we consider unique in financial markets. Our firm is comprised of award-winning predictive modelers, experienced data analysts, advanced technologists, and a group of dynamic business professionals.

This role requires the independent application of advanced knowledge in math, statistics, physics or equivalent field of study. The selected candidate will be expected to exercise discretion and independent judgment, contributing to the design, development, and analysis of large datasets.

We are seeking enthusiastic, mathematically gifted, intellectually curious, highly analytical and detail-oriented Quantitative Research Interns to work collaboratively with our data scientists to conduct complex research projects to meet the Voloridge mission of delivering superior risk-adjusted returns using proprietary modeling techniques. Our program is 10 weeks long with the opportunity to join full-time!

Summary of Job Functions

Work with large, real-world datasets using intuition, statistics, and machine learning methodologies

Collect, clean, and analyze unconventional datasets

Collaborate with world-class data scientists on research projects that have meaningful company impact

Present research to a large group of researchers

Minimum Requirements

Ability to work onsite in our Jupiter, Florida office (not a remote role)

Completion of at least three years of an undergraduate or graduate degree program in Math, Statistics, Physics or equivalent field of study

Experience with at least one programming language, such as Python

Demonstrated aptitude in Math and Statistics