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Data Scientist - Optiver

Location: Amsterdam
Employment: Full-time

Optiver is an industry leader across everything we do. We don’t just meet industry standards; we aim to set them! With trading teams focusing on a broad range of financial products, we have access to large amounts of in-house and external data. This provides our employees with an unrivaled universe of exciting opportunities. Through our core function as a market-maker we continuously improve the market by being the source of liquidity for market participants. As a Data Scientist you’ll contribute herein by investigating, developing and improving data-driven trading strategies in close cooperation with traders, researchers and developers on one of the most dynamic and exciting trading floors in Europe.

If you have a technical academic degree, programming skills, experience with machine learning and a passion to prove yourself, you could be the Data Scientist we are looking for. 

What you'll do

You will spend your first weeks at Optiver in a challenging training program learning about our organization, trading, theory and our technical infrastructure. Immediately after you will continue learning by hands-on experience in your own projects/strategies with guidance from fellow Researchers and Traders. 

Responsibilities include designing and implementing data pipelines, processing and transforming large datasets, and generating alpha by improving our trading strategies through machine learning and back testing techniques.

We expect you to be versatile, flexible and very creative in coming up with new, innovative solutions. In return you get the freedom to pursue your ideas and implement them right into our production systems. By taking the initiative to continuously improve our trading you’ll get to have an impact on our business almost immediately after starting.

What you'll need

  • Competitive attitude and eagerness to constantly improve yourself
  • An academic degree in Computer Science, Engineering, Mathematics, Physics, Econometrics or equivalent
  • Numerical skills with a good understanding of statistics, calculus, linear algebra and probability
  • Good programming skills, preferably advanced in Python, SQL and experience with machine learning
  • Great attention to detail
  • A ‘can do’ attitude when it comes to problem solving combined with the ability to carry a project
  • Excellent communication and teamwork skills

Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe?

Apply directly via our website for the position of Data Scientist. Please provide us with a CV and a letter of motivation in English. Applications without a letter of motivation will not be reviewed.

When we think there is a potential match, you will hear from us sooner than you expect. If you have any questions feel free to contact the Recruitment team on recruitment@optiver.com.

N.B. if you are selected from your application to proceed to the next round for the position of Data Scientist, you will be required to take an online tests to measure your numerical and analytical skills.  Additionally, visa requirements apply for non-EU applicants.

Kindly note that we do not require any assistance from third-parties including agencies in the recruitment of this role.

More information on how Optiver Europe processes your personal data can be found in our Privacy Policy.



Information and application:


Please send your application for Data Scientist at Optiver in Amsterdam including your CV via our website.

Job posted

28 april 2021
Apply Now

More information:

Feel free to contact the Recruitment team

E: recruitment@optiver.com.

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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