QUANTITATIVE RESEARCH INTERNSHIP

STATION F; Paris; Hybrid; EUR 16,000 - 20,000; Full time

Benefits offered by this job

Highly competitive salary

Fast-growing algorithmic trading firm

Challenging projects with ownership

Fun and inspiring work environment

Job summary

Sakana is recruiting for an internship in Paris to design, implement, and deploy trading algorithms and to analyze large data sets for identifying trading opportunities. You will contribute to analytical libraries supporting market data analysis and trading, and perform post-trade analysis to mitigate risk.

You will develop a strong understanding of market structures across exchanges and assets. The internship requires pursuing a Master’s degree in a relevant field, with strong analytical and

Qualifications

• Pursuing a Master’s degree in Physics, Mathematics, Computer Science, Econometrics, or equivalent.
• Very strong analytical skills.
• Programming in C++, Java, or Python.
• Great attention to detail.
• Pro-active, takes ownership, flexible and stress-resistant.
• Knowledge of Unix systems is a plus.
• No prior knowledge of finance or digital assets is necessary.
• Internship should last at least 3 months.

Responsibilities

• 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.

Skills

Analytical skills

Programming (C++, Java, Python)

Attention to detail

Ownership mindset

Education

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

Tools

Unix systems

Job description

About

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

About

Sakana 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 a better level of responsibility and ownership than at 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

• Pursuing a 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
• No prior knowledge of finance and/or digital assets is necessary
• Internship should last at least 3 months

Additional Information

• Contract Type: Internship (Between 3 and 6 months)
• Location: Paris
• Occasional remote authorized