Software Engineer

Garda Capital Partners LP
New York, NY, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$150,000.0 - $175,000.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) C Sharp (Programming Language) Relational Databases Python (Programming Language) PostgreSQL NumPy Object-Relational Mapping Object-Oriented Software Development Oracle (Applications) Raw Data Risk Management Information Systems SciPy
+13 more
Service Layer Software Engineering SQL Databases Parquet Data Processing ReactJS Pandas Containerization Kubernetes Information Technology Data Pipelines Docker Microservices

Job description

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., * 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)

Requirements

  • 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

About the company

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.

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