University Graduate – Machine Learning Engineer 100% (f/m/d)

Julius Baer; Zürich; Vor Ort; CHF 90.000 - 110.000; Vollzeit

Zusammenfassung

Julius Baer in Zürich invites graduates to join its 18-month Graduate Programme starting April 2027. You will rotate through AI & ML teams, gain hands-on experience, and build a global network while solving real-world wealth management challenges.

The program emphasizes end-to-end analytics, from ideation to deployment, with opportunities to work on production models and modern data infrastructure in a lean, agile environment. Fluency in English and German is required.

Qualifikationen

• Master's degree in AI, Data Science, or a related quantitative field (graduation within 12 months).
• Exposure to finance or banking is an asset.
• Fluency in English and German.
• Strong desire to grow in wealth management.

Aufgaben

• Identify AI/data science opportunities to drive innovations in wealth management.
• Contribute to development and validation of AI/ML models in a regulated environment.
• Collaborate with ML engineers and data scientists across rotations.
• Work on end-to-end analytics projects from ideation to deployment.
• Learn within an agile, graduate-friendly program and build global networks.

Kenntnisse

Global mindset

Interpersonal skills

Learning agility

Ausbildung

Master's degree in AI / Data Science / Statistics / Mathematics / Physics / Computer Science

Jobbeschreibung

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. Lets shape the future of wealth management together.

Kick-start your career with Julius Bares Graduate Program - April 2027

Are you about to complete your masters 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 AI & ML ART (Agile Release Train) of Julius Baer and join one or multiple teams such as the machine learning operations (e.g. deploy/train models on our GPU clusters), embedded AI (automating through AI), Source of Wealth or JAI (our in-house AI chat bot solution) team and work on cutting-edge machine learning and AI topics.

By that you will have the opportunity to play a pivotal role in advancing Julius Bares 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.

Whats in it for you?

• 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

YOUR CHALLENGE

During the programme, you will:

• 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 (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

YOUR PROFILE

• 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