University Graduate – Machine Learning Engineer 100% (f/m/d)
Bahnhofstrasse 36, 8001 Zürich · Banken · Privatbank · >6500 · Deutsch
About Us
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 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.
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
Fähigkeiten
PythonGehaltsspanne
Auf AnfrageDieser Arbeitgeber nennt die Gehaltsspanne im ersten Gespräch.
Benefits
UnterstütztBYOD wird je nach Inserat unterstützt.
Kontakt
For recruiting agents, please see the additional information here.
