FAQs
What is the duration of the internship?
The internship lasts for six months, ideally starting in January 2025.
What educational background is preferred for candidates applying for this internship?
Desirable candidates are typically Masters or PhD candidates in finance, economics, mathematics, statistics, physics, computer science, engineering, or other quantitative disciplines.
What kind of training will the intern receive?
The intern will receive comprehensive training while working closely with the PM team.
What are some key responsibilities of the intern?
Responsibilities include assisting with data collection, analyzing large data sets, adapting statistical forecasting techniques, developing new signals, and providing research assistance to the team.
Is prior experience in the financial services industry required for this position?
No, prior experience in the financial services industry is not required.
What technical skills are necessary for this role?
Proficiency in Python and quantitative analysis is necessary, and a background in machine learning is ideal. Experience with database languages like SQL and Postgres is a plus.
What qualities are desirable in a candidate?
Candidates should have strong analytical and quantitative skills, a detail-oriented mindset, the ability to work independently and collaboratively, and a strong desire to deliver high quality results in a timely fashion.
What ethical standards are expected from the intern?
The intern is expected to commit to the highest ethical standards.
Will the internship provide hands-on experience with machine learning?
Yes, the intern may adapt and extend existing machine learning algorithms to different asset classes applied to macro strategies.
Are there opportunities to contribute to the team's research infrastructure?
Yes, the intern will help improve the team's research infrastructure as part of their responsibilities.