Quick Summary
We are Gelber Group -- Passion for Trading. Powered by Technology. Gelber Coöperatief is a subsidiary of Gelber Group, LLC. Headquartered in Chicago with offices across the United States and Europe,
We are Gelber Group -- Passion for Trading. Powered by Technology.
Gelber Coöperatief is a subsidiary of Gelber Group, LLC. Headquartered in Chicago with offices across the United States and Europe, Gelber has set the bar as one of the industry’s most innovative and enduring proprietary trading firms for more than 40 years. Our success derives from a relentless pursuit of new trading ideas and careful attention to technology.
We have a culture of entrepreneurship, innovation, and collaboration. We empower each member of our team to have a meaningful impact from the start. We employ a flat organizational structure and focus on meritocracy.
As a Trader for Gelber Coöperatief in our Amsterdam office, you will have an opportunity to play a critical role as we expand our footprint throughout Europe. You will be joining a successful trading desk with over a decade of experience in a variety of asset classes and a wide range of trading styles. You will work side by side with a talented and experienced team to capitalize on the market and build out a growing trading desk. This role is for someone who flourishes in a fast-paced environment, has a strong work ethic, a competitive attitude, and a proven record of profitability in a trading position for at least two years.
This position is located in Gelber’s Amsterdam office, executing proprietary trading strategies and conducting data analysis to improve performance.
Responsibilities
~1 min read- →Generate alpha using proprietary trading strategies
- →Manage your own trading book with access to multiple exchanges and asset classes
- →Share information regarding market developments across your trading team
- →Conduct research to develop new alpha strategies to broaden the groups trading techniques
- →An active participant in advancing the groups proprietary python libraries
- Bachelor’s degree in Computer Science, Math, Finance, Engineering, Statistics or a related field
- Experience using Python (Pandas, NumPy), Excel and SQL
- Proven track record of profitability as a trader for at least one year
- Proficiency in numerical and statistical analysis concepts
- Excellent problem-solving skills and ability to learn, understand and apply new concepts quickly
- Proven self-starter
- Excellent written and verbal communication skills in English are required and other languages are always welcome
What We Offer
~1 min readListing Details
- Posted
- March 18, 2026
- First seen
- March 26, 2026
- Last seen
- April 14, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 39%
- Scored at
- April 14, 2026
Signal breakdown
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