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

Bank Julius Bär & Co. Ltd.; Zürich; Vor Ort; CHF 60.000 - 80.000; Vollzeit

Zusammenfassung

Julius Baer invites graduates to join its 18-month AI & ML Graduate Programme in Zurich, offering three rotations, including an international assignment. You will gain hands‑on experience in ML operations, embedded AI and data science within the COO division, working on real-world banking challenges.

You will deploy models to production, monitor live systems, and collaborate with ML engineers, data scientists and stakeholders to drive enterprise analytics across wealth management.

Qualifikationen

• Master's degree in AI, Data Science, Statistics, Mathematics or Computer Science, graduation within 12 months.
• Previous practical experience in finance is a plus.
• Passion for wealth management and creating value beyond wealth.
• Global mindset with strong learning orientation.
• Fluency in English and German; additional languages are a plus.
• Eligible to work in the country where you apply.

Aufgaben

• Identify opportunities for AI and data science to drive data‑driven innovations in wealth management.
• Contribute to development and validation of AI/ML models for client experience and operations.
• Work on NLP, predictive analytics and personalization use cases while complying with data privacy and banking regulations.
• Collaborate with ML engineers, data scientists and business stakeholders to translate complex requirements into production solutions.
• Analyze large financial datasets to improve model performance, fairness and interpretability.
• Participate in full ML lifecycle including deployment, monitoring and MLOps.
• Engage with modern data infrastructure and Julius Baer technology stack to build secure analytics pipelines.
• Support model risk management with thorough documentation and regulatory alignment.
• Stay ahead of AI/ML trends and promote responsible innovation within banking constraints.
• Foster a data-driven culture by sharing knowledge and best practices.

Kenntnisse

English

German

Ausbildung

Master's degree in AI/Data Science/Statistics/Mathematics/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. Let's shape the future of wealth management together.

Kick-start your career with Julius Baer's Graduate Program - April 2027. 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 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 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.

What’s 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 strong network
• Impactful work: Contribute to projects that make a real difference from day one

YOUR CHALLENGE

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

Why join Julius Baer?

The international reference in wealth management Julius Baer is the leading Swiss wealth management group. We focus on servicing and advising sophisticated private clients from around the world, taking into account what truly matters to them – in their business and personal life, today and for future generations. Headquartered in Zurich, we are present in around 60 locations worldwide, including Bangkok, Dubai, Dublin, Frankfurt, Geneva, Hong Kong, London, Luxembourg, Madrid, Mexico City, Milan, Monaco, Mumbai, Santiago de Chile, Shanghai, Singapore, Tel Aviv, and Tokyo.

At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders. With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes.

For more information visit www.juliusbaer.com or contact us via the Contact Form.