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Working Student Data Visualization and Analysis (Analysis & Advisory)(m/w/x)
Automating credit risk processes via dashboards and AI solutions for a pan-European commercial bank. Quantitative academic background and practical SQL/programming experience needed. Remote work options, collective banking wage agreement.
Requirements
- Academic background in a quantitative field
- Practical experience with SQL and programming
- Experience with data visualization
- Experience applying Artificial Intelligence techniques
- Interest in heterogeneous data landscapes
- Strong analytical and problem-solving skills
- Beneficial relation to financial sector
- Fluency in English
- Availability for on-site work in Munich
Tasks
- Handle large big data volumes daily
- Code information extraction and visualization
- Automate credit risk processes via dashboards
- Develop and implement AI-driven solutions
- Apply innovative data analytics methods
- Process data using SAS, SQL, and Python
- Implement and test technical code
- Perform detailed evaluations and analyses
- Provide standardized data solutions
- Identify and promote AI use cases
- Support the company's digital transformation
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- SAS
- Python
- Power Query
- SAS Visual Analytics
- PowerBI
- DAX
- Tableau
- Gradient Boosting models
- RAG
- LLM
Benefits
Flexible Working
- Flexible work hours
- Remote work options
Learning & Development
- Steep learning curve
Diverse Work
- Multifaceted work experience
Informal Culture
- Flat hierarchies
Other Benefits
- People empowerment
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Working Student Data Visualization and Analysis (Analysis & Advisory)(m/w/x)
Automating credit risk processes via dashboards and AI solutions for a pan-European commercial bank. Quantitative academic background and practical SQL/programming experience needed. Remote work options, collective banking wage agreement.
Requirements
- Academic background in a quantitative field
- Practical experience with SQL and programming
- Experience with data visualization
- Experience applying Artificial Intelligence techniques
- Interest in heterogeneous data landscapes
- Strong analytical and problem-solving skills
- Beneficial relation to financial sector
- Fluency in English
- Availability for on-site work in Munich
Tasks
- Handle large big data volumes daily
- Code information extraction and visualization
- Automate credit risk processes via dashboards
- Develop and implement AI-driven solutions
- Apply innovative data analytics methods
- Process data using SAS, SQL, and Python
- Implement and test technical code
- Perform detailed evaluations and analyses
- Provide standardized data solutions
- Identify and promote AI use cases
- Support the company's digital transformation
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- SAS
- Python
- Power Query
- SAS Visual Analytics
- PowerBI
- DAX
- Tableau
- Gradient Boosting models
- RAG
- LLM
Benefits
Flexible Working
- Flexible work hours
- Remote work options
Learning & Development
- Steep learning curve
Diverse Work
- Multifaceted work experience
Informal Culture
- Flat hierarchies
Other Benefits
- People empowerment
About the Company
HypoVereinsbank - UniCredit Bank GmbH
Industry
FinancialServices
Description
Die UniCredit ist eine paneuropäische Geschäftsbank, die ein einzigartiges Produkt- und Service-Angebot in Europa bietet.
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