Energy Trading Quantitative Analyst - Front Innovation

TotalEnergies Group

Genf

Hybrid

CHF 120,000 - 180,000

Full time

25 hours ago
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Job summary

TotalEnergies Front Innovation Tools (FIT) team in Geneva seeks a quantitative analyst to build models and digital tools for Oil and Gas trading desks on the trading floor. You will work with market analysis, risk, and IT, using Python/C++ and AI tooling, contributing to dashboards, pricing models, and risk monitoring in a fast-paced environment.

This role offers exposure to cross-disciplinary projects, continuous integration, and opportunities to influence energy trading technology.

Qualifications

  • You are graduated from a quantitative Master or an engineering school with majors in Mathematics, Physics, Data Engineering or Quantitative Finance.
  • Experience in large IT projects using continuous integration tools such as TFS or AWS is a plus.
  • You have worked in python or C++ and enjoy programming.
  • Good usage of AI tools used in coding such as Claude Code would be a plus.
  • Previous experience on a trading floor or in the commodities market would be a plus.
  • You have good communication skills, a can-do attitude and proactively take initiatives
  • You know how to work in an evolving environment where pressure and urgency are daily occurrences

Responsibilities

  • Develop and deliver models and digital tools for Oil and Gas trading desks.
  • Provide traders with visual dashboards to synthesize risk and prices.
  • Collaborate with market analysis, risk and IT teams; support AI integration.
  • Maintain continuous deployment tooling and IT ecosystem alignment.

Skills

Programming: Python & C++
Communication skills
Adaptability

Education

Quant Master / Eng School

Tools

Python
C++
CI/CD tools (TFS/AWS)

Job description

TotalEnergies Front Innovation Tools (FIT) team in Geneva seeks a quantitative analyst to build models and digital tools for Oil and Gas trading desks on the trading floor. You will work with market analysis, risk, and IT, using Python/C++ and AI tooling, contributing to dashboards, pricing models, and risk monitoring in a fast-paced environment.

This role offers exposure to cross-disciplinary projects, continuous integration, and opportunities to influence energy trading technology.

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