Quantitative Research Intern – Algo Trading, Paris

STATION F

Paris

Hybride

EUR 10 000 - 17 000

Temps partiel

Il y a 2 jours
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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

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.

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