Software Engineer (Python)

Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 20 years of experience deploying relative value strategies across fixed income markets for institutional investors. Garda has offices in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale.

Garda is looking to hire a Software Engineer to be a part of our Research and Technology (R&T) team based out of our New York office. This is an exciting position offering opportunities to gain exposure to enterprise software development practices at a global hedge fund.

Position Responsibilities:

• Aid in the development of new lines of business solutions using Python, Excel and Relational Databases
• Support senior staff in designing and implementing complete solutions for our Risk and Front Office Groups.
• Provide support for in-house and 3rd party applications

Qualifications & Desired Skills:

• 3+ Year of object-oriented development, preferably with Python (using common programming design patterns and good practices)
• 3+ Year of relational databases and SQL experience, data modeling, and database design
• Experience with Python Data Science Stack (Pandas, NumPy, SQLAlchemy, etc.)
• Experience with gRPC a plus
• Experience with C# and JavaScript, React a plus
• Bachelor's or Master’s Degree in Computer Science, Engineering, Mathematics, or Finance
• Strong analytical and problem-solving skills
• Passionate about programming and technology
• Interest in financial trading industry
• Ability to work effectively in a high-energy, time sensitive team environment
• Detail-oriented with strong verbal and written communication skills
• Knowledge of fixed income trading and related financial instruments including bonds and interest rate derivative products preferred, but not required

This role is also eligible for other forms of compensation and benefits, such as a discretionary bonus, healthcare plan, 401(k) matching program, etc. Within the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education.

Base Salary for this role is expected to be between:$100,000—$150,000 USD