Quantitative Developer Intern 2027

Summary

Voloridge Investment Management is a firm based in Jupiter, FL, specializing in systematic, market neutral investment strategies. They are seeking a Quantitative Developer Intern to contribute to the design, development, and analysis of large datasets while working with engineering teams on various software and data engineering projects.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Benefits

• Free housing provided, if needed
• Free transportation to and from office, if needed
• Free breakfast, lunch, snacks, coffee, and soft drinks
• Free Gym membership
• Five minutes from the beach