QUANTITATIVE RESEARCH INTERNSHIP

STATION F; Paris; Hybride; EUR 10 000 - 17 000; Temps partiel

Avantages offerts par ce poste

Highly competitive salary

Unique opportunity to join fast‑gowing

Ownership of interesting projects

Fun and inspiring work environment

Résumé du poste

Sakana is a signal and strategy provider in the Digital Assets space, offering hands-on internship opportunities in Paris. You will design and deploy trading algorithms, analyze large data sets, and contribute to analytical libraries while learning market structure and risk mitigation strategies.

Pursuing a Master’s degree with strong analytical skills and programming ability in C++, Java or Python is expected, with a 3–6 month internship and occasional remote work allowed.

Qualifications

• Pursuing a master’s degree in Physics, Mathematics, Computer Science, Econometrics, or equivalent.
• Very strong analytical skills.
• Programming proficiency with 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.

Responsabilités

• 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.

Connaissances

Analytical skills

Attention to detail

Proactive

Stress-resilient

Formation

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

Outils

C++

Java

Python

Description du poste

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