Data Scientist — Finance Data & Trading Analytics

Praxy

Paris

Hybride

EUR 90 000 - 130 000

Plein temps

Il y a 10 jours
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Résumé du poste

Qube Research & Technologies (QRT) is seeking a Data Scientist to join the Data Search & Analytics team. You will source and onboard datasets for trading desks, become proficient with internal tools, and help productionise data workflows.

The role requires 3+ years in data science, a quantitative postgraduate degree, and strong Python (Pandas/NumPy) skills to support research and trading activities. Collaborating with researchers, traders, and engineers, you will tackle data challenges in a

Qualifications

  • 3+ years of experience as a Data Scientist or similar role.
  • Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
  • Advanced Python programming experience including Pandas and NumPy.
  • Experience with traditional and alternative financial datasets.
  • Excellent communication skills and ability to collaborate with researchers, traders and engineers.

Responsabilités

  • Source, design and onboard new datasets per trading desks' priorities.
  • Become an expert on internal tools to support data-driven trading systems.
  • Proactively solve data-related problems to minimise time to production.
  • Manage the full lifecycle of data sourcing projects (acquisition, exploration, engineering, prototyping, production).

Connaissances

Python
Pandas
NumPy
Data analysis
Finance knowledge

Formation

Postgraduate degree in Mathematics/Physics/Engineering

Outils

SQL
Git
Linux

Description du poste

Qube Research & Technologies (QRT) is seeking a Data Scientist to join the Data Search & Analytics team. You will source and onboard datasets for trading desks, become proficient with internal tools, and help productionise data workflows.

The role requires 3+ years in data science, a quantitative postgraduate degree, and strong Python (Pandas/NumPy) skills to support research and trading activities. Collaborating with researchers, traders, and engineers, you will tackle data challenges in a

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