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Kick-start your career with Julius Baer’s Graduate Program starting April 2027. Our 18-month Graduate Programme is designed to unleash your potential through three dynamic rotations, including an international assignment. You’ll gain hands-on experience, build a global network, and lay the foundation for a thriving career in wealth management.

Tasks

  • Identify opportunities for AI and data science to spur data-driven innovations across wealth management.
  • Contribute to the development and validation of AI/ML models that enhance client experience and operational efficiency in a regulated banking environment.
  • Work on real-world use cases such as natural language processing, predictive analytics, and personalization, while ensuring compliance with strict data privacy and security standards.
  • Collaborate with ML engineers, data scientists, and business stakeholders to translate complex requirements into robust, production-ready solutions.
  • Analyze large, high-quality financial datasets to uncover insights and improve model performance, accuracy, and fairness, including visualization and interpretation of model outputs.
  • Participate in the full lifecycle of machine learning solutions, including deployment, monitoring, and ongoing operations (MLOps), ensuring reliability and scalability in live environments.
  • Engage with modern data infrastructure and the Julius Baer technology stack to build and maintain secure, efficient analytics pipelines.
  • Support model risk management through thorough documentation, assumption testing, and adherence to regulatory expectations on transparency and explainability.
  • Stay ahead of emerging AI/ML trends and apply innovative techniques responsibly within the constraints of banking regulations.
  • Help foster a data-driven culture across the organization by sharing knowledge and promoting best practices in analytics and AI.

Requirements

  • Master's degree from a university or university of applied sciences with above-average grades in AI, Data Science, Statistics, Mathematics, Physics, Computer Science, or a related quantitative field (graduation max. 12 months ago).
  • Initial practical experience in the financial industry and expertise in banking products and financial markets are an asset.
  • Passion for wealth management and a desire to create value beyond wealth.
  • A global mindset, excellent interpersonal skills, and a strong appetite for learning.
  • Fluency in English and German, with additional languages being a plus.
  • Eligibility to work in the country where you apply for the position.

Benefits

  • Tailored career path to develop expertise in your chosen field while growing personally and professionally.
  • Gain international experience and work with diverse teams.
  • Learn from industry leaders and peers and build a strong network.
  • Contribute to projects that make a real difference from day one.
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Über uns
Julius Bär Gruppe AG ist eine international tätige Privatbank mit Schwerpunkt auf Vermögensverwaltung und Anlageberatung für vermögende Privatkunden. Das Unternehmen bietet Dienstleistungen in den Bereichen Wealth Management, Investment Advisory, Vermögensplanung sowie Finanzierungslösungen an und verfolgt eine offene Produktplattform für individuelle Anlagelösungen. Julius Bär ist weltweit in zahlreichen Finanzzentren vertreten und betreut Kundinnen und Kunden über ein internationales Netzwerk von Standorten.
Das Team

Join the COO division and become part of the AI & ML Agile Release Train at Julius Baer, working in teams such as machine learning operations, embedded AI, Source of Wealth, or JAI (in-house AI chat bot solution). Collaborate in a lean, agile environment with experienced colleagues who support continuous learning and growth.

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