Career
Upcoming
Career Talk: "Quantitative Research at Millennium"
Date: 4 June 2025, 17.15 – 18.30 Followed by Apero
Location: ETH Main Building, Room E 41
Please register here: Link
About: Hear from Millennium senior leadership about trading, technology, and quantitative research in a hedge fund. In this unique engagement, you will have the chance to learn about the ins and outs of quantitative researchers and how they fit into the day-to-day workings of the industry. Following the discussion, you will also have the chance to network with three of Millennium’s key leaders.
Speakers:
- Yves Guntern - CEO, Millennium Switzerland
- Pranat Pathak - CIO, EMEA and Global Head of Fixed Income, Commodities & Risk Technology
- Emmanuel Lanzmann – Global Head of Quantitative Modeling and Technology – Fixed Income, Commodities & Risk Technology
In collaboration with external page Analytics Club at ETH
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.
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.
The ETH – ADIA Lab Collaboration & ADIA Lab Data Science Competition 2025
Date & Time: Friday, May 16, 2025, 14.00 - 18.00 (Zurich Time)
Location: ETH Zurich Main Building E 5
Registration: closed
Agenda:
14.00 Welcome
14.05 “ADIA Lab’s Research Areas & Opportunities for Students” Dr. Horst Simon & Prof. Marcos Lopez de Prado, ADIA Lab (partly remote)
14.30 “The Strategy Assembly Line – How ML can be used when developing an Investment Strategy”, Prof. Marcos Lopez de Prado, ADIA Lab (remote)
15.00“Insights on Courses and ongoing Student Projects with ADIA Lab” – Dr. Bastian Bergmann, ETH Zurich & Dr. Koushik Balasubramanian, ADIA Lab
15.20 “Brainstorming Session on Future Student Projects”, All
15.45 Break
16.15 “ADIA Lab Data Science Competition 2025” Dr. Emanuele Olivetti, ADIA Lab & Jean Herelle, CrunchDAO
17.30 Networking & Drinks
Speakers from ADIA Lab
- Prof. Marcos Lopez de Prado, Global Head, Quantitative R&D, ADIA Lab
- Jean Herelle, Founder, CEO CrunchLab
- Dr. Horst Simon, ADIA Lab,
- Dr. Koushik Balasubramanian, ADIA Lab
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