Data Engineer

Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 19 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, and Singapore.

Garda is looking to hire a Data Engineer to be a part of our Research and Technology (R&T) team based out of our New York office.

The R&T team is responsible for all of the firm's applications & infrastructure including data management, analytics, portfolio and risk management. The selected candidate will be experienced in processing and manipulating data, developing scalable and performant data delivery systems, data APIs and platforms. This position requires proficiency and experience in software development using Python. While prior business knowledge is not mandatory, capital markets related experience will be a plus.

Position Responsibilities

• Assist in developing and maintaining stable data pipeline to support Garda's trading and business activities
• Aid in the onboarding and processing of interesting new data sets, working with developers, traders, and portfolio managers across the organization
• Develop a keen understanding of the data and how it is being utilized in our systems, analytics, and investment process

Qualifications & Desired Skills

• Bachelor's Degree in Computer Science, Engineering, Mathematics, or Finance
• Minimum 2 years' of development experience using either Python, C#/Java or C++
• Minimum 2 years' years of database/SQL experience
• Familiarity with object-oriented programming concepts
• Must be comfortable with development across the application stack
• Ability to complete complex projects independently
• Detail-oriented with strong verbal and written communication skills
• Ability to work effectively in a high-energy, time sensitive team environment
• Interest or prior experience in the financial trading industry (particularly in fixed income) a plus

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:

$110,000—$150,000 USD