FAQs
What is the duration of the internship?
The internship lasts for 11 weeks.
Where is the internship location?
The opportunities are available in Miami.
What qualifications are required for the internship?
A PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field is required.
What kind of programming experience is needed for this role?
Hands-on programming experience in scripting languages (e.g., Python) and/or compiled languages (e.g., C++) is needed.
What specific skills are sought after for this position?
Strong research track record in statistics, machine learning, AI, problem-solving skills, clear communication of advanced concepts, and proficiency in creating and using algorithms to analyze large datasets are sought after.
Will interns have the opportunity to collaborate with senior team members?
Yes, interns will have the opportunity to collaborate and connect with senior team members throughout the internship.
Is experience with unconventional data sources important for this position?
Yes, experience working with large datasets, including unconventional and unstructured data sources, is important.
What core objectives should interns expect to achieve during their internship?
Interns are expected to use statistics and machine learning to extract patterns, implement algorithms in high-quality code, work with large datasets, back-test models, and document research findings.
Are interns required to have prior experience in quantitative research?
Advanced training and a strong research track record in a highly quantitative field are necessary, indicating that prior experience in quantitative research is desirable.
What opportunities for networking will be available during the internship?
Interns will have opportunities to network and socialize with peers throughout the internship.