FAQs
What qualifications are required for the Quantitative Researcher - Intern position?
Candidates should be undergraduate, MS, or PhD students in finance, computer science, mathematics, physics, or another quantitative discipline.
What programming languages should candidates be proficient in?
Candidates should have programming experience in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl.
Are candidates with no prior experience in financial markets eligible to apply?
While demonstrated interest in financial markets and systematic trading is desirable, candidates without prior experience are still encouraged to apply if they possess strong analytical and quantitative skills.
Is the role primarily independent or does it involve collaboration with a team?
The role involves both independent work and collaboration within a small team, so candidates should be comfortable with both.
What key skills should candidates demonstrate for this position?
Candidates should demonstrate strong analytical and quantitative skills, be detail-oriented, proactive communicators, and willing to take ownership of their work.
What is the focus of the work for this internship?
The internship focuses on applying advanced data modeling and statistical learning methods to market prediction and systematic trading.
Will interns be involved in data processing?
Yes, interns will be responsible for pre-processing very large data sets for model estimation and event studies, including tasks like validation, cleaning, normalization, and dimension reduction.
How important is communication in this role?
Clear, concise, and proactive communication is important for collaboration and successful project execution in this role.

