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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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AI Intern

Garda Capital Partners
Found 2 weeks ago
Location
Geneva, Switzerland
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • pandas
  • NumPy
  • PyTorch
  • TensorFlow
  • data structures
  • algorithms
  • asynchronous programming
  • Language Models (LLMs)
  • Agentic AI
  • deep learning

Soft Skills

  • Entrepreneurial spirit
  • strong problem solving skills
  • superb organizational skills
  • sound judgment
  • client-focused approach
  • shared drive to learn, improve, and achieve lasting impact
  • curiosity
  • desire to continuously learn, innovate, and improve
  • Ability to work cross-functionally
  • build strong working relationships
  • adapt as priorities or market conditions evolve

Job Description

Garda is looking to hire AI Interns to be a part of our unique Innovation Lab dedicated to high-impact AI projects. The role will be based out of our Geneva or Zug offices for 6 months and starting as soon as the candidate is available. This is an elite opportunity to join a dedicated innovation unit focused on the research, development, and deployment of cutting-edge AI technologies within the rapidly changing and demanding environment of a global hedge fund. Position Responsibilities * Aid in the development of new lines of business solutions using Language Models (LLMs) and Agentic AI workflows. * Support senior staff in designing and implementing complete AI-driven solutions for our front office and risk systems to enhance decision-making velocity. * Automate data extraction, synthesis, and reporting and build bespoke tools for alternative data analysis and signal processing. * Take ideas from teams, build out minimum viable products independently, and rapidly iterate via stakeholder feedback. * Conduct feasibility studies on frontier AI and deep learning research to determine its applicability to the firm's core business challenges.

Requirements

  • Pursuing a Bachelor's or Master’s Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.
  • A rigorous grasp of computer science fundamentals, including data structures, algorithms, and asynchronous programming.
  • Strong experience with the Python ecosystem (specifically libraries like pandas, NumPy, and PyTorch/TensorFlow).
  • Demonstrated interest in financial markets and trading.
  • Entrepreneurial spirit, strong problem solving skills, superb organizational skills, sound judgment, and a client-focused approach.
  • Embraces a shared drive to learn, improve, and achieve lasting impact as part of a high-energy team.
  • Demonstrates curiosity and a desire to continuously learn, innovate, and improve.
  • Ability to work cross-functionally, build strong working relationships, and adapt as priorities or market conditions evolve.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research
▶Apply Now

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