Career
Career Talks - Upcoming
Title: "Day in the Life at Millennium"
Date & Time: Wednesday, Dec 4; 12.15 to 13.15 (Zurich time) online via Zoom
Zoom Link: Please write a mail to
Speakers:
- Harry Sairaman (Senior Portfolio Manager),
- Jules Lopvet (Quantitative Researcher) &
- Emily Glaister (EMEA Campus Recruitment Lead)
About: Invitation for ETH students to hear from Millennium professionals offering an insight into life at the company, their careers in Finance and the internship roles / job opportunities available.
Past Events
Past Event: Nov 5, 2024 with Qube Research Technologies
Title: What Are Quant Researchers Doing in Hedge Funds?
Speaker: Adrien Hardy, Quantitative Research Director, Qube Research Technologies
Date: Nov. 5, 2024, 18.15-19.00 +Q&A,
Location: ETH Zurich, ML Building Room D 28
(no registration required)
About: In this talk, I'll start with a quick overview of quantitative trading in the hedge fund industry. Then, I'll cover some of the key technical challenges that quant researchers face in their day-to-day work. This will give you a sense of the types of mathematical and machine learning problems quants are trying to solve.
Career Opportunities
external page Millennium Management: Quantitative Research Summer Intern (Zug)
Job Responsibilities
- Explore and analyze a vast array of datasets, including both market data from asset trading and alternative data from other aspects of the economy using machine learning/statistical/applied math/econometric techniques
- Apply statistical and machine learning techniques to test investment ideas
- Collaborate with portfolio managers, quantitative researchers, and software engineers to deploy these investment ideas and make an impact on the team’s PnL
- Analyze financial data and develop predictive models to support decision making within the team
- Implement and develop machine learning algorithms to be leveraged in the investment process
- Collaborate with the team to identify opportunities for process improvement and innovation
Qualifications, Skills and Requirements
- Pursuing a master’s degree in a technical or quantitative discipline; such as Financial Engineering, Quantitative and Computational Finance, statistics, mathematics, physics, or computer science graduating in 2025
- Demonstrated proficiency in at least C++ or Python
- Experience performing an in-depth research project examining real-world data
Details and application external page here