University Graduate – Machine Learning Engineer; f​/m​/d

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

Kick-start your career with Julius Baer’s Graduate Programme – October 2026

Are you about to complete your master’s degree or recently graduated and ready to turn ambition into impact? At Julius Baer, we empower graduates to shape the future of wealth management.

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.

Your team:
Join the COO division and become part of the award winning (e.g., Wealth Briefing European Awards 2022 “Best Innovative Use of Artificial Intelligence” and PWM “Best private bank for digitally empowering RMs”) Machine learning and Analytics & Target Insights teams based in Zurich.

By that you will have the opportunity to play a pivotal role in advancing Julius Baer’s business and digital transformation by applying data science and machine learning to real‑world banking challenges through hands‑on involvement in end‑to‑end analytics projects, you’ll work across the full lifecycle — from ideation and exploratory analysis to model development, deployment, and ongoing operations.

You won’t just build models — you’ll see them deployed into production and actively monitored in live environments and you’ll gain practical experience with modern infrastructure and the Julius Baer (JB) technology stack, enabling scalable and reliable AI solutions. And you will work in a lean, agile environment, you’ll collaborate with experienced colleagues who support continuous learning and growth. You’ll also have regular opportunities to build expertise in cutting‑edge areas such as artificial intelligence, scalable data systems, and responsible innovation.

• Tailored career path:
  Develop expertise in your chosen field while growing personally and professionally
• Global perspective:
  Gain international experience and work with diverse teams
• Community & mentorship:
  Learn from industry leaders and peers and build a strong network
• Impactful work:
  Contribute to projects that make a real difference from day one

Start date:

1 October 2026

Curious to learn more about our Graduate Programme? Visit our careers website:

• 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.
• Analyse large, high‑quality financial datasets to uncover insights and improve model performance, accuracy, and fairness — including visualisation 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 (JB) 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.

• Master's degree from a university or university of applied sciences with above‑average grades in AI, Data Science, Statistics,…