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 seeking a Software Engineer in its Research and Technology (R&T) group to join the Risk team, based out of our New York office. The R&T group is responsible for all of the firm's applications & infrastructure, including analytics, portfolio, and risk management. The selected candidate will join the team responsible for designing and building systems that support our risk managers, including risk analytics, exposure monitoring, and reporting infrastructure for fixed-income and interest-rate derivative portfolios. The ideal candidate will have demonstrated proficiency and practical experience in software development using C# and Python. Previous experience in risk management or capital markets is highly desirable.
Position Responsibilities
Help design and develop risk management systems and analytics tools used directly by risk managers to monitor exposure, P&L, and portfolio risk
Help build and maintain services in C# and Python across the application stack, from data pipelines to front-end tooling
Use gRPC microservices as part of our core service layer
Leverage the Python scientific stack (NumPy, pandas, duckdb, etc.) to develop and productionize quantitative risk models and analytics
Work with Parquet files for efficient data manipulation and analysis
Familiarity with relational database schemas and queries (Oracle / Postgres) supporting risk data and reporting
Containerize and deploy services using Docker and/or Kubernetes
Provide support for in-house and 3rd party risk and analytics applications
Diagnose and fix issues with trading desk and risk systems (in-house analytics, vendor, and proprietary systems)
Qualifications & Desired Skills
Bachelor's Degree in Computer Science, Engineering, Mathematics, or Finance
4+ years of object-oriented development using C# and Python
4+ years of relational database, SQL, and ORM experience (Oracle / Postgres preferred)
Experience with the Python scientific stack (NumPy, pandas, SciPy, Polars, DuckDB, etc.)
Familiarity with using Parquet files for data manipulation
Experience with Docker and/or Kubernetes
Familiarity with risk analytics and fixed income instruments, including bonds and interest rate derivatives a plus
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
Familiarity with designing and/or using gRPC services in a microservices architecture
JavaScript / React experience is a plus
Candidate Privacy Notice
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:
$150,000 — $175,000 USD