Calypso Commodities

Quant & Trading Intern – AI Startup (m/f/d)

Stellenbeschreibung:

About Calypso Commodities Calypso Commodities is an AI software company specializing in optimization solutions for global commodity trading. Our clients are major energy companies and global trading houses

who do physical trading of LNG and crude oil. They use our software

daily to optimize their trading decisions and portfolio management . Our flagship product

X-LNG is the leading optimization platform for LNG trading worldwide . Headquartered in Berlin with offices in London and Regensburg.

About the role Join our team and work at the intersection of quantitative analysis, commodity trading, and AI software development. You will be involved in client projects, trading analysis, and product development and work closely with the CTO on answering technical quesitons

Responsibilities You will code a lot Develop quantitative case studies and trading analyses for clients Support client interactions and project delivery Build and improve features in our optimization software Work with real market data and trading scenarios Use Python for data science analysis and quantitative modelling Help build our trading courses and training materials on LNG deal and portfolio valuations Support on general startup topics as they come up

Qualifications Pursuing a Bachelor's or Master's degree in

Mathematics, Computer Science, Physics , or a quantitative field with strong academic performance Solid Python programming skills Strong mathematical foundation

and analytical thinking Interest in commodity trading, energy markets, or quantitative finance Self-motivated with a hands-on mentality Currently based in Berlin

and studying at a Berlin university

Additional information Mandatory internship (Pflichtpraktikum) Minimum 5 months Glexible start date 2 week trial period

NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    21 Mär 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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