Sobre este puesto de Quantitative Researcher en Garda Capital Partners
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 looking to hire a Quantitative Researcher to join the Quantitative Investment Research team in Geneva or Zug. The ideal candidate has 1 to 4 years of relevant experience and a strong understanding of the end-to-end systematic trading strategy pipeline, from research and design through to implementation and monitoring. The role involves working closely with portfolio managers and technology teams, contributing to solutions for trading and risk systems, and engaging directly with the analytics used in live trading.
Position Responsibilities
- Contribute to the development of data-driven trading strategies across the full lifecycle, from research and prototyping through to production implementation.
- Participate in the research process end-to-end, including data collection and analysis, signal generation, back-testing, and performance monitoring.
- Collaborate with portfolio managers and technology teams to integrate quantitative research into investment decisions and risk management.
Qualifications & Desired Skills
- Bachelor’s or Master’s Degree in statistics, financial engineering, applied math, computer science, or a similar quantitative or technical discipline.
- 1 to 4 years of experience in quantitative research, systematic trading, or a related field.
- Exceptional quantitative & programming skills in Python. Comfortable using AI coding assistants such as Claude Code or similar tools.
- Wide knowledge of fixed income markets strongly preferred, other asset classes is a plus.
- Strong communication skills.
- Ability to work independently.
- Intellectual curiosity and motivation to innovate and improve.
- Experience with trade execution and order management is a plus.
