Garda Capital Partners

Garda Capital Partners

Software Engineer

New York, New York, United States

Sponsorship not specified$150k-$175kDetected 5 days ago
JavaScriptPythonC#ReactSQLPostgreSQLDockerKubernetesgRPCPandasNumPyData EngineeringResearchCommunication

About the role

  • 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.

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
  • Leverage the Python scientific stack (NumPy, pandas, duckdb, etc.) to develop and productionize quantitative risk models and analytics
  • Provide support for in-house and 3rd party risk and analytics applications

Requirements

  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or Finance
  • Experience with the Python scientific stack (NumPy, pandas, SciPy, Polars, DuckDB, etc.)
  • Experience with Docker and/or Kubernetes
  • Must be comfortable with development across the application stack

Nice to have

  • 4+ years of relational database, SQL, and ORM experience (Oracle / Postgres preferred)
  • Familiarity with risk analytics and fixed income instruments, including bonds and interest rate derivatives a plus
  • JavaScript / React experience is a plus

Compensation

  • $150,000 - $175,000 USD
  • Base Salary for this role is expected to be between:

Company info

  • Use gRPC microservices as part of our core service layer

This listing is sourced directly from Garda Capital Partners's careers page and normalized into a canonical job model.