Data Scientist - Commodities

Qube Research & Technologies · Genève

This position is part of the Data Search & Analytics team, which plays a critical role in the firm's overall success by bridging Research, Trading, and Engineering functions.

Responsibilities

  • Partner with trading teams to build and maintain data pipelines
  • Work alongside data engineers to integrate new datasets for trading desks
  • Develop data transformations that create valuable insights for investment strategies
  • Create code prototypes to extract, clean, and aggregate data from various raw sources
  • Oversee the complete lifecycle of onboarding new datasets
  • Address data-related challenges proactively to reduce time to production
  • Explore and test new data extraction techniques to improve the onboarding toolkit

Requirements

  • At least three years of experience as a Data Scientist or in a comparable role
  • Master's degree or higher in a quantitative field like Mathematics, Physics, or Engineering
  • Strong programming skills in Python
  • Familiarity with data manipulation libraries such as Pandas and NumPy
  • A clear interest in financial markets and using data for analysis
  • Experience handling both traditional and alternative financial datasets
  • Strong communication abilities
  • Capacity to thrive in a fast-paced, high-performance setting

Nice to have

  • Background in buy-side quantitative finance

What the company offers

  • Programs and initiatives designed to support a healthy work-life balance

About the company

Qube Research & Technologies is a global quantitative and systematic investment manager that operates across all liquid asset classes worldwide. The firm combines technology and data-driven approaches with a scientific methodology to invest. It fosters a collaborative environment to tackle complex problems and maintains a culture of innovation aimed at delivering high-quality returns. Diversity is valued as a key driver of success, and the company encourages open and respectful collaboration among its employees.

  • Collaborative approach to solving complex challenges
  • Culture of innovation focused on delivering high-quality returns
  • Commitment to diversity and empowering open, respectful work environments

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