Quantitative Research Intern 2027

Voloridge Investment Management

Town of Florida (NY)

On-site

USD 24,000 - 40,000

Full time

14 days+
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Benefits offered by this job

High compensation
Free housing
Free transportation
Free meals
Gym membership
Beach nearby

Job summary

Voloridge Investment Management in Jupiter, Florida is seeking enthusiastic Quantitative Research Interns to work with our data scientists on research projects that apply statistics, mathematics and machine learning to large datasets. You will help design, analyze and interpret models used to deliver superior risk-adjusted returns.

The 10-week program offers hands-on experience, collaboration with world-class researchers, and the potential to join full-time after completion.

Qualifications

  • Onsite in Jupiter, Florida office (not remote).
  • Completed at least three years of an undergraduate or graduate degree in Math/Statistics/Physics or equivalent.
  • Experience with at least one programming language, such as Python.
  • Demonstrated aptitude in Math and Statistics.
  • Extremely detail-oriented and self-motivated.
  • Highly curious with a deep problem-solving attitude.

Responsibilities

  • 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

Skills

Python
Statistics
Machine Learning

Education

Math/Statistics/Physics degree

Job description

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

  • Extremely detail-oriented and self-motivated

  • Highly curious with a deep problem-solving attitude


Compensation and Benefits


  • 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.

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