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UBS est un groupe bancaire suisse actif dans la gestion de fortune, la gestion d’actifs et la banque d’investissement. Il propose également des services bancaires aux particuliers et aux entreprises en Suisse.

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Description de l’offre

We are seeking an engineer/researcher to join the CRB desk within UBS Global Markets. This is a front-office role at the intersection of software engineering, data science, quantitative research, and trading technology. You will work closely with traders, quants, and technology teams to develop and maintain the desk's tooling, analytics platforms, AI capabilities, and systematic infrastructure.

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 continued development of 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 on a daily basis.
  • 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. The CRB desk has a long history of innovation in quantitative trading and technology within UBS Global Markets. We enjoy solving challenging problems using data, technology, automation, AI, and market intelligence. Our team brings together expertise across front-office engineering, quantitative research, systematic trading, Equities, ETFs, and Delta One markets. As the business continues to evolve, a key focus area is the development and maintenance of the desk's AI capabilities, analytics platforms, and research infrastructure.
  • You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use
  • Strong problem-solving and analytical skills.
  • A proactive, can-do attitude with a willingness to take ownership and learn quickly.
  • Excellent Python programming skills and the ability to write clean, maintainable, production-quality code.
  • Strong experience working 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, with the ability to work effectively across business and technology teams. Desirable
  • Experience with data science, statistical modelling, or large-scale data analysis.
  • Experience developing front-office applications, automation frameworks, or other business-critical software.
  • Experience building AI, machine learning, or LLM-based solutions.
  • Familiarity with financial markets, electronic trading systems, Equities, ETFs, Delta One products, distributed systems, or KDB+/q. •

Li-gb ubs

is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers .