University Graduate – Machine Learning Engineer 100% (f/m/d) at BANK JULIUS BAER CO LTD

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Artificial Intelligence, Model Development, Model Deployment, MLOps, Data Analysis, Predictive Analytics, Natural Language Processing, Agile Environment, Data Privacy, Security Standards, Data Infrastructure, Model Validation, Model Risk Management, Explainability

Industry

Banking

Description

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 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 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: https://www.juliusbaer.com/en/careers/graduates/ 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. Analyse 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 We review applications on a rolling basis. Thank you for applying early and for your patience during the review process. We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here. 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. Why join Julius Baer? 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 of highly motivated colleagues, bringing the best of the bank to our clients. Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners. Committed to your success Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. 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. For recruiting agents, please see the additional information here.

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Responsibilities

The role involves identifying opportunities for AI and data science to drive innovation in wealth management and contributing to the development and validation of AI/ML models to improve client experience and operational efficiency. Responsibilities span the full machine learning lifecycle, including deployment, monitoring, and ensuring compliance with banking regulations.