Quantitative Trader / Researcher

Job description

About

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

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Highly competitive salary

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

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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

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A fun and inspiring work environment

Job Description

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Design, implement, and deploy trading algorithms

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

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

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

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

Preferred Experience

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

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Very strong analytical skills

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

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Great attention to detail

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

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Knowledge of Unix systems is a plus

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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