Career
Current Initiative for ETH Students
CAS ML in Finance & Insurance Innovation Project
About
Together with the ETH Analytics Club we are launching a pilot initiative that brings together professionals from the CAS in Machine learning in Finance and Insurance and ETH MSc students for an innovation project focused on Machine Learning in Finance and Insurance.
Get ready to apply your expertise in a unique pilot project focused on Machine Learning within the Finance and Insurance sectors.
Time: August/September to October 2025
Target Group: ETH MSc Students
This is your chance to actively contribute to a cutting-edge project, gaining invaluable practical experience, deep industry insights, and expanding your professional network within ML in Finance and Insurance.
The pilot project will not offer any ECTS or any other form of formal recognition. You will get a certificate of participation.
Ideal MSc Students:
- Interest in Finance and Insurance Topics
- Background in STEM subjects or related
- Experience with Machine Learning tools in a programming environment eg. through class projects
- Hardworking, detail-oriented, collaborative
If you are interested to receive more details and the project proposals, pre-register here
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 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
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