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University Graduate – Machine Learning Engineer(m/w/x)
Developing AI/ML models for wealth management in banking environments, applying NLP and predictive analytics to real-world use cases. Master's degree in quantitative fields required, practical financial industry experience a plus. Global perspective, international experience.
Requirements
- Master's degree in quantitative fields
- Practical financial industry experience asset
- Passion for wealth management
- Global mindset and interpersonal skills
- Strong appetite for learning
- Fluency in English and German
- Eligibility to work in application country
Tasks
- Identify AI and data science opportunities for wealth management innovation
- Develop and validate AI/ML models for banking environments
- Apply NLP and predictive analytics to real-world use cases
- Ensure compliance with data privacy and security standards
- Collaborate with engineers and stakeholders on production-ready solutions
- Analyze financial datasets to improve model performance and fairness
- Visualize and interpret complex model outputs
- Manage the full MLOps lifecycle from deployment to monitoring
- Build secure analytics pipelines using modern technology stacks
- Support model risk management through detailed documentation
- Test model assumptions and ensure regulatory transparency
- Apply emerging AI trends within banking regulations
- Promote best practices and a data-driven organizational culture
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Benefits
Career Advancement
- Tailored career path
- Strong professional network
Informal Culture
- Global perspective
- International experience
Mentorship & Coaching
- Community and mentorship
Purpose-Driven Work
- Impactful work
Not a perfect match?
- Julius BaerFull-timeOn-siteJuniorZürich
- Julius Baer
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University Graduate – Machine Learning Engineer(m/w/x)
Developing AI/ML models for wealth management in banking environments, applying NLP and predictive analytics to real-world use cases. Master's degree in quantitative fields required, practical financial industry experience a plus. Global perspective, international experience.
Requirements
- Master's degree in quantitative fields
- Practical financial industry experience asset
- Passion for wealth management
- Global mindset and interpersonal skills
- Strong appetite for learning
- Fluency in English and German
- Eligibility to work in application country
Tasks
- Identify AI and data science opportunities for wealth management innovation
- Develop and validate AI/ML models for banking environments
- Apply NLP and predictive analytics to real-world use cases
- Ensure compliance with data privacy and security standards
- Collaborate with engineers and stakeholders on production-ready solutions
- Analyze financial datasets to improve model performance and fairness
- Visualize and interpret complex model outputs
- Manage the full MLOps lifecycle from deployment to monitoring
- Build secure analytics pipelines using modern technology stacks
- Support model risk management through detailed documentation
- Test model assumptions and ensure regulatory transparency
- Apply emerging AI trends within banking regulations
- Promote best practices and a data-driven organizational culture
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Benefits
Career Advancement
- Tailored career path
- Strong professional network
Informal Culture
- Global perspective
- International experience
Mentorship & Coaching
- Community and mentorship
Purpose-Driven Work
- Impactful work
About the Company
Julius Baer
Industry
FinancialServices
Description
The company shapes the future of wealth management.
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