Quantitative Developer Intern 2027

Voloridge•Jupiter, FL

20h•Onsite

About The Position

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 computer science 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 a Quantitative Developer Intern to join our talented development team to work in a diverse environment of open source and “off the shelf” technologies. Summary of Job Functions Work with engineering teams in the Research department on a variety of software and data engineering projects Participate in the team's software development process and standards Become proficient with the team’s technology stacks and tooling Conduct research on best practices in software development and their application to the field of quantitative investment and present findings to the team Create and/or maintain engineering and operational documentation, where applicable

Requirements

Pursuing a Bachelor's, Master's, or PhD degree in Computer Science, or related discipline
Experience with programming languages such as C#, C++, Python, Powershell, SQL
Ability to work onsite in our Jupiter, Florida office (not a remote role).
Housing and transportation provided where applicable

Nice To Haves

Completion of at least three years of an undergraduate degree
Computer Science background with an emphasis on computer organization and design
Knowledge of data modeling methodologies
Experience building ETL/ELT data pipelines
Strong math background
Extremely detail-oriented and self-motivated
Highly curiosity with a deep problem-solving attitude
Able to work well in a team environment
Strong communication and problem-solving skills
Willing to tackle challenging problems and hungry to learn

Responsibilities

Work with engineering teams in the Research department on a variety of software and data engineering projects
Participate in the team's software development process and standards
Become proficient with the team’s technology stacks and tooling
Conduct research on best practices in software development and their application to the field of quantitative investment and present findings to the team
Create and/or maintain engineering and operational documentation, where applicable