Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Benefits
Karriere- und Weiterentwicklung
- Tailored career path
- Strong professional network
Lockere Unternehmenskultur
- Global perspective
- International experience
Mentoring & Coaching
- Community and mentorship
Sinnstiftende Arbeit
- 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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Benefits
Karriere- und Weiterentwicklung
- Tailored career path
- Strong professional network
Lockere Unternehmenskultur
- Global perspective
- International experience
Mentoring & Coaching
- Community and mentorship
Sinnstiftende Arbeit
- Impactful work
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Julius Baer
Branche
FinancialServices
Beschreibung
The company shapes the future of wealth management.
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