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