Quantitative Trader / Researcher


Sakana Research is a signal and strategy provider in the Digital Assets space.

We generate state-of-the-art predictions, helping our clients achieve superior risk-adjusted returns with no correlation to other markets. We have become a leading actor in our sector in less than 18 months: more than 1 billion dollars are traded through our systems each month.

We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high-performance trading platforms to large-scale data analysis.

What we offer

  • Highly competitive salary

  • A unique opportunity to join one of the fastest growing and most innovative algorithmic trading companies in the world

  • A unique opportunity to work on very interesting projects, get the level of responsibility and ownership that would take 5-10 years longer to get in a traditional trading company/bank/hedge fund

  • A fun and inspiring work environment

Job Description

  • Design, implement, and deploy trading algorithms

  • Analyze large data sets using advanced statistical methods to identify trading opportunities

  • Contribute to libraries of analytical computations to support market data analysis and trading

  • Conduct post-trade analysis of trading strategies and algo performance risk mitigation strategies

  • Develop a strong understanding of market structure of various exchanges and asset classes

Preferred Experience

  • Master’s degree in Physics, Mathematics, Computer Science, Econometrics, or equivalent

  • Very strong analytical skills

  • Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python)

  • Great attention to detail

  • Pro-active, takes ownership, flexible and stress-resistant

  • Knowledge of Unix systems is a plus

  • Eagerness to continuously learn new technologies and develop with us

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Education Level: Master's Degree
  • Occasional remote authorized