Quantitative Trader

il y a 4 semaines


Paris, Île-de-France Sakana Temps plein
About Sakana Research

Sakana Research is a pioneering signal and strategy provider in the Digital Assets space, renowned for its cutting-edge predictions and risk-adjusted returns. Our innovative approach has propelled us to the forefront of our sector in under 18 months, with over $1 billion traded through our systems each month.

Our Expertise

We combine deep expertise in trading, technology, and operations with rigorous scientific research to drive our success. Our in-house development of cutting-edge systems, from high-performance trading platforms to large-scale data analysis, sets us apart.

What We Offer
  • Competitive Salary
  • A unique opportunity to work on exciting projects, with a high level of responsibility and ownership
  • A dynamic and inspiring work environment
Job Description

We are seeking a skilled Quantitative Trader to join our team. Key responsibilities include:

  • Designing, implementing, and deploying trading algorithms
  • Analyzing large data sets using advanced statistical methods to identify trading opportunities
  • Contributing to libraries of analytical computations to support market data analysis and trading
  • Conducting post-trade analysis of trading strategies and algo performance risk mitigation strategies
  • Developing a strong understanding of market structure of various exchanges and asset classes
Requirements
  • Master's degree in Physics, Mathematics, Computer Science, Econometrics, or equivalent
  • Strong analytical skills and programming proficiency in at least one major programming or scripting language
  • Great attention to detail and a proactive, flexible, and stress-resistant attitude
  • Knowledge of Unix systems is a plus
What We're Looking For

We're eager to find a talented individual who is passionate about continuous learning and development. If you're a motivated and detail-oriented professional with a strong background in quantitative analysis, we encourage you to apply.


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