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Summer Internship – Analytics & Transformation(m/w/x)
Analyzing complex datasets for wealth management trends using R or Python. Bachelor/Master student in applied sciences with SQL experience required. Collaboration with business analysts and Compliance teams.
Requirements
- Bachelor student from 2nd year or enrolled Master student in applied sciences (Financial Engineering, Mathematics, Physics, or equivalent)
- Practical experience with dataset analysis and model creation using R or Python
- Experience navigating SQL databases
- Enthusiasm for leveraging data and statistical knowledge
- Commitment to research and curiosity
- Keen interest in learning about our methods
- Team-oriented individual
- Enjoyment of collaborating with diverse experts
- Willingness to listen to different ideas
- Ability to voice own ideas for best outcome
- Global mindset
- Excellent interpersonal skills
- Strong appetite for learning
- Fluency in English
- Eligibility to work in the country of application
Tasks
- Work with complex data sets to uncover trends and patterns
- Extract valuable insights from data for various stakeholders
- Design, build, and maintain statistically rigorous solutions
- Leverage statistical and machine learning methodologies
- Collaborate with business analysts and Compliance teams
- Answer risk questions using scientific techniques and research
- Identify new opportunities within the analytics roadmap
- Develop and test prescriptive and predictive models
- Implement analytics solutions to improve banking processes
- Synthesize data into actionable risk monitoring strategies
- Communicate the value of data and developed solutions
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- SQL
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Summer Internship – Analytics & Transformation(m/w/x)
Analyzing complex datasets for wealth management trends using R or Python. Bachelor/Master student in applied sciences with SQL experience required. Collaboration with business analysts and Compliance teams.
Requirements
- Bachelor student from 2nd year or enrolled Master student in applied sciences (Financial Engineering, Mathematics, Physics, or equivalent)
- Practical experience with dataset analysis and model creation using R or Python
- Experience navigating SQL databases
- Enthusiasm for leveraging data and statistical knowledge
- Commitment to research and curiosity
- Keen interest in learning about our methods
- Team-oriented individual
- Enjoyment of collaborating with diverse experts
- Willingness to listen to different ideas
- Ability to voice own ideas for best outcome
- Global mindset
- Excellent interpersonal skills
- Strong appetite for learning
- Fluency in English
- Eligibility to work in the country of application
Tasks
- Work with complex data sets to uncover trends and patterns
- Extract valuable insights from data for various stakeholders
- Design, build, and maintain statistically rigorous solutions
- Leverage statistical and machine learning methodologies
- Collaborate with business analysts and Compliance teams
- Answer risk questions using scientific techniques and research
- Identify new opportunities within the analytics roadmap
- Develop and test prescriptive and predictive models
- Implement analytics solutions to improve banking processes
- Synthesize data into actionable risk monitoring strategies
- Communicate the value of data and developed solutions
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- SQL
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 by empowering individuals to create value beyond wealth.
Not a perfect match?
- Julius Baer
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