Quantitative Research Fellowship

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.

We are seeking enthusiastic, mathematically gifted, intellectually curious, highly analytical and detail-oriented individuals to join our 10 week program with the opportunity to join full-time.

work collaboratively with our data scientists, researchers and analysts to contribute to groundbreaking research projects that support our mission of delivering superior risk-adjusted returns.

• Work with large, real-world datasets using math, statistics, programming, and machine learning methodologies
• Collaborate with world-class data scientists on research projects that have meaningful company impact
• Participate in frequent research meetings
• Generate unique insights and, potentially, major breakthroughs that could lead to further innovation

• Ability to work onsite in our Jupiter, Florida office (not a remote role)
• Recently completed a PhD in any quantitative field, such as Physics, Mathematics, Computer Science, and Statistics
• Proficiency in at least one programming language, preferably Python
• Extremely detail-oriented and self-motivated
• Highly curious with a deep problem-solving attitude
• Ability to collaborate and communicate effectively

• Exceptionally high compensation
• 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

Voloridge Investment Management is an SEC registered investment advisor and an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.