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.

Qualifications & Desired Skills

• 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.

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