About the role
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 for a Data Engineer in its Research and Technology (R&T) group based out of our Geneva 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# or Java/ C++
- Minimum 2 years of database/SQL experience
- Familiarity with object-oriented programming concepts
- Experience with ETL/ELT tools (dagster, airflow, dbt, talend etc.)
- Experience with containerized applications. Experience with container orchestration tools is a plus (Swarm, Kubernetes, ECS, etc.)
- 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
