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Garda Capital Partners

Software Engineer

New York, New York, United StatesFrom $175kmidAdded today

About this role

Garda Capital Partners seeks a Software Engineer for its Research and Technology group to build risk management systems and analytics tools supporting fixed-income portfolio monitoring. You'll develop across the full stack using C# and Python, working with microservices, scientific computing libraries, and cloud infrastructure in a fast-paced alternative investment environment.

What you'll do

  • Design and develop risk management systems and analytics tools for exposure, P&L, and portfolio risk monitoring
  • Build and maintain services in C# and Python across the application stack, including data pipelines and front-end tooling
  • Develop and productionize quantitative risk models using NumPy, pandas, DuckDB, and related scientific libraries
  • Work with Parquet files and relational databases (Oracle/Postgres) for risk data manipulation and reporting
  • Deploy and containerize services using Docker and/or Kubernetes
  • Diagnose and resolve issues in trading desk and risk systems, including in-house and vendor applications

What they're looking for

  • C# and Python (4+ years object-oriented development)
  • SQL and relational databases (Oracle/Postgres preferred)
  • Python scientific stack (NumPy, pandas, SciPy, Polars, DuckDB)
  • Docker and/or Kubernetes
  • gRPC microservices architecture
  • Parquet files and data manipulation
  • Full-stack development across application layers
  • Fixed income instruments and risk analytics (preferred)

Benefits

  • Discretionary bonus
  • Healthcare plan
  • 401(k) matching program
  • Collaborative culture focused on mentoring and growth
  • Multi-office locations globally
  • Work on impactful risk systems for institutional investors
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Garda Capital Partners

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Likely interview questions

  • Describe your experience building microservices with gRPC and how you've handled deployment at scale with Docker/Kubernetes.
  • Walk us through a complex project where you developed across multiple application layers—from data pipelines to front-end tooling—and how you managed technical decisions.
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