PhD-Ready Quantitative Researcher: Build Market Alphas

Radix Trading Experienced Job Board; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Radix Trading Experienced Job Board in Amsterdam is looking for a Quantitative Researcher to identify trading opportunities by applying rigorous quantitative methods and coding expertise. You will collaborate with academics to advance research on market dynamics and trading strategies using our proprietary platform.

The role emphasizes a practical, hacker-like approach to testing ideas and delivering value for the firm, with emphasis on rapid learning and real-world impact.

Qualifications

• Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
• Persistent Drive to Improve and rise to the next level
• Creative Problem Solving and Probabilistic Thinking with data-driven testing approaches
• Team Mindset: collaboration to improve team performance
• Mental Flexibility and Self Awareness to adapt based on new data and feedback
• Orientation for Making Money with pragmatic, value-driven projects

Responsibilities

• Identify trading opportunities using quantitative methods and data analysis
• Develop and test trading strategies in collaboration with researchers
• Contribute to a research-driven trading platform and knowledge base
• Experiment with new statistical methods and AI techniques to improve performance

Skills

Strong analytical skills

Data-driven thinking

Probability & statistics

C++ programming

Learning mindset

Team collaboration

Education

PhD student / Postdoc / Professor or equivalent advanced research position

Tools

C++

Job description

Radix Trading Experienced Job Board in Amsterdam is looking for a Quantitative Researcher to identify trading opportunities by applying rigorous quantitative methods and coding expertise. You will collaborate with academics to advance research on market dynamics and trading strategies using our proprietary platform.

The role emphasizes a practical, hacker-like approach to testing ideas and delivering value for the firm, with emphasis on rapid learning and real-world impact.