Strategic Tech Associate: AI, Data Tools & Impact

Quberesearchandtechnologies

Paris

Sur place

EUR 40 000 - 60 000

Plein temps

14 jours+

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Résumé du poste

Qube Research & Technologies (QRT) is seeking an exceptional candidate to join their Paris office, focusing on impactful technology-driven initiatives. This role offers a high-exposure learning opportunity, ideal for early-career professionals with strong analytical skills and technical curiosity.

You will engage in strategic projects across various teams, contribute to AI initiatives, and assist in developing automation tools. The ideal candidate should have a strong academic background in relevant fields and coding skills, particularly in Python. Excellent English is required, and knowledge of French is appreciated.

Qualifications

  • Strong analytical and logical reasoning abilities.
  • Demonstrated excellence through academic performance, competitions, or meaningful side projects.
  • Coding skills in Python preferred.

Responsabilités

  • Support cross-functional strategic projects across research, technology, and business teams.
  • Contribute to internal AI and LLM-related initiatives.
  • Build lightweight data tools and automation scripts.
  • Assist with small coding and workflow optimization projects.

Connaissances

Strong analytical and logical reasoning abilities
Coding skills (Python preferred)
Comfortable using AI tools and automation technologies
Fluent English
Additional languages (French appreciated)

Formation

Strong academic background in mathematics, engineering, computer science, finance, economics, or related fields

Description du poste

Qube Research & Technologies (QRT) is seeking an exceptional candidate to join their Paris office, focusing on impactful technology-driven initiatives. This role offers a high-exposure learning opportunity, ideal for early-career professionals with strong analytical skills and technical curiosity.

You will engage in strategic projects across various teams, contribute to AI initiatives, and assist in developing automation tools. The ideal candidate should have a strong academic background in relevant fields and coding skills, particularly in Python. Excellent English is required, and knowledge of French is appreciated.

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