Software Engineer Intern (Python)
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Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. We hire, grow, and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust, integrity, and a shared vision for how we work together, the enduring relationships we build, and the consistency of our results. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale.Garda is looking to hire a Software Engineer Intern (Python) to be a part of our Research and Technology (R&T) team based out of our Wayzata office, in Summer 2026. This is an exciting position offering opportunities to gain exposure to enterprise software development practices at a global hedge fund.Position ResponsibilitiesAid in the development of new lines of business solutions using Python, and SQLSupport senior staff in designing and implementing complete solutions for our front office/risk systems.Provide support for in-house and 3rd party applicationsQualifications & Desired SkillsPursuing a Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics, or Quantitative FinanceExperience with the Python ecosystem of common libraries and working knowledge of at least one statically typed languageGood grasp of computer science fundamentals (e.g. data structures, algorithms, operating systems etc.)Familiarity with object-oriented programmingStrong problem-solving skills and commitment to high standards for codeInterest or prior experience in the financial trading industry (particularly in fixed income) a plusAbility to work effectively in a high-energy, time-sensitive team environmentDetail-oriented with strong verbal and written communication skillsWithin the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education.Hourly Compensation for this role is expected to be between:$45—$45 USD