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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
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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Julius Baer
Industry
FinancialServices
Description
The company shapes the future of wealth management.
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