Join Our Team at Qube Research & Technologies (QRT)
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. We are a technology and data-driven organization that embraces a scientific approach to investing. By integrating data, research, technology, and trading expertise, we foster a collaborative mindset that allows us to tackle the most challenging problems. Our culture of innovation propels our ambition to deliver high-quality returns for our investors.
Position Overview
We are seeking a Software Engineer – Atlassian Specialist to join our Technology team in Zurich. This role intersects software engineering, data engineering, and infrastructure automation, empowering our research and trading teams to operate efficiently and scale intelligently. At QRT, technology is integral to our investment process. You will be instrumental in constructing and maintaining systems that support the entire research and trading lifecycle, from data acquisition and model development to execution and post-trade analysis. Your contributions will directly assist quantitative researchers and portfolio managers, enabling them to iterate more swiftly, manage risk effectively, and discover new alpha opportunities through enhanced automation and tooling. Collaboration with quantitative researchers, software engineers, and IT operations will be key to building and maintaining the internal platforms that drive QRT's data-centric research and production systems.
Your Future Role Within QRT
- Design, develop, and maintain internal tools and automation frameworks that support quantitative research workflows, including data ingestion, transformation, orchestration, and visualization.
- Identify and alleviate workflow bottlenecks, translating business and research requirements into scalable, maintainable software solutions.
- Implement automation and monitoring for operational and data pipelines using APIs, Python, and DevOps practices.
- Build and manage system integrations between internal and third-party services to ensure robustness, consistency, and low latency.
- Develop user-friendly interfaces and documentation, and conduct onboarding or training for internal users.
- Contribute to cloud migration and containerization initiatives (e.g., AWS, Kubernetes, Terraform).
- Participate in code reviews, CI/CD pipelines, and technical design discussions across teams.
Your Skillset
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience).
- 3+ years in a software or DevOps engineering role, ideally within a data-intensive, trading, or hedge fund environment.
- Strong proficiency in Python, with proven experience in building automation tools, REST APIs, and integrations.
- Extensive experience with the Atlassian Suite (Jira, Confluence, Bitbucket), including administration, workflow design, custom integrations, and automation scripting.
- Solid understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and configuration management (Ansible, Terraform).
- Hands-on experience managing or deploying workloads on cloud platforms (AWS, GCP, or Azure).
- Familiarity with SQL and data processing frameworks such as Pandas, Spark, or Airflow.
- Excellent problem-solving and debugging skills, with the ability to thrive in fast-paced, production-critical environments.
- Strong communication skills, enabling effective collaboration with both technical and non-technical stakeholders.
- A curious mindset and eagerness to learn about quantitative finance, applying technology to complex research and trading challenges.
Application Process
If you are interested in joining our team, apply online using the form below. Please note that only applications matching the job profile will be considered.