University of Amsterdam Trading Academy 2026

Company : Optiver

Job Type : Internship

Netherlands

Number of Applicants

000+

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Job Description - University of Amsterdam Trading Academy 2026

Optiver will be launching the Optiver & University of Amsterdam Trading Academy, an exclusive program open to University of Amsterdam students. Led by Optiver industry expert Robbert Pullen, the program introduces students to the foundations of financial markets and options theory, progressing to hands-on algorithm development and testing in Python. Participants will work on Optiver’s simulated exchange, Optibook, combining academic concepts with practical industry application. You’ll walk away with:

A deep understanding of financial markets, options theory and algorithmic trading – no financial background required!

Direct experience on a simulated market exchange, offering a glimpse into what it’s like to work as a trader at a leading global market maker.

The skill to design and optimise a Python trading algorithm based on real financial market data.

A certificate from Optiver, awarded upon successfully finishing the Trading Academy and participating in the final algorithmic trading competition.

Please note that this course is purely educational and not linked to any recruitment process. Participation will not affect future applications to Optiver.

Course overview

Market making theory: Foundations of market making, including options theory, evolving to practical data analysis and Python algorithm design.

Hands-on practice: Build and optimise Python-based trading algorithms in Optibook, our real-time simulated exchange.

Competitive challenges: The course concludes in a competitive event where you’ll deploy your Optibook algorithms against those of your peers. This event replicates the high stakes and rewards of real trading, giving you insights into the day-to-day life of a trader. An exciting prize awaits the winning team!

Eligibility criteria

A registered student at University of Amsterdam

A strong aptitude in mathematics

Basic coding proficiency – participants will use Python for this challenge

No prior backgrounds in financial markets is required

Application procedure

After you submit your registration (linked below), you will hear back about your application decision by March 19.

Key dates

Course duration: April 7 – April 28

Schedule:
2 April 17:00 – 22:00 at Science Park
9 April 17:00 – 22:00 at Science Park

13 April 17:00 – 22:00 at Science Park

20 April 17:00 – 19:00 at the Econometrics Faculty

23 April 17:00 – 19:00 at the Econometrics Faculty

Application deadline: Monday 13 March, 12:00 CET

Apply below for this incredible opportunity to enhance your knowledge and get practical skills in the world of algorithmic trading.

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