CRB Developer, Global Markets

Overview

In this front-office role at UBS Global Markets, you’ll blend software engineering, data science, and quantitative research to build and maintain the desk’s tooling, analytics platforms, and AI capabilities. You will collaborate with traders, quants, and tech teams to deliver production-grade solutions that improve decision-making and operational efficiency. This is a hands-on, impact-driven position at the intersection of engineering, AI, and systematic trading. You’ll shape the desk’s research infrastructure and AI tooling to support market-making and analytics at scale.

Pay / Benefits

• flexible working options
• career comeback program
• disability inclusion and accommodations

Responsibilities

• Develop, maintain, and enhance front-office applications, automation frameworks, and trading support tools
• Build and manage the desk’s AI tooling and contribute to the desk’s research platform
• Apply data science and statistical techniques to improve decision-making, workflow automation, monitoring, and analytics
• Design, implement, and maintain production-grade software solutions used by the desk
• Work with large datasets to generate insights, improve operational efficiency, and support research initiatives
• Develop monitoring, reporting, and operational tooling to support automated trading and market-making systems
• Contribute to the reliability, scalability, and performance of the desk’s technology stack
• Collaborate closely with traders, quants, and developers to solve challenging business and technical problems

Key requirements

• Strong problem-solving and analytical skills
• Proactive, can-do attitude with ownership and quick learning
• Excellent Python programming skills and production-quality code
• Strong experience in Linux/Unix environments
• Experience building, deploying, and supporting production software systems, including CI/CD, automation, monitoring, and DevOps practices
• Strong communication and collaboration skills across business and technology teams

• curiosity about how AI can improve workflows
• sound judgment and risk-aware approach
• effective cross-functional collaboration
• Python programming
• Linux/Unix
• production software systems

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