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AI & Automation Engineer in Credit Risk(m/w/x)
Designing graph-based data models in Neo4j for automation and generative AI in credit risk. Databricks experience required. Hybrid work, professional development support.
Requirements
- Bachelor's or Master's degree in quantitative field
- Understanding of banking industry and risk management
- Extracting business insights from data
- Deploying automations and AI systems
- Databricks experience
- Graph databases experience (e.g. Neo4j)
- Large Language Models (LLM) experience
- Python programming skills
- Spark programming skills
- Cypher programming skills
- SQL programming skills
- Data visualization tools familiarity (e.g. Power BI)
- Version control systems familiarity (e.g. GitHub)
- Cloud platforms familiarity (e.g. Azure)
- Strong communication skills
- Ability to translate complex topics to non-technical language
Tasks
- Contribute to data science initiatives in automation and generative AI
- Design and build graph-based data models in Neo4j
- Maintain real-time reporting and analytical applications
- Model complex relationships transparently
- Demonstrate interest in data and emerging technologies
- Understand key regulatory principles for big data and AI
- Communicate solutions to technical and non-technical stakeholders
- Ensure transparency and shared understanding
- Understand banking processes and risk management
- Work with relevant IT platforms for implementation
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Databricks
- Neo4j
- Large Language Models (LLM)
- Python
- Spark
- Cypher
- SQL
- Power BI
- GitHub
- Azure
Benefits
Flexible Working
- Hybrid work
Mentorship & Coaching
- Professional and personal development support
Startup Environment
- Dynamic environment
Informal Culture
- Experienced colleagues
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AI & Automation Engineer in Credit Risk(m/w/x)
Designing graph-based data models in Neo4j for automation and generative AI in credit risk. Databricks experience required. Hybrid work, professional development support.
Requirements
- Bachelor's or Master's degree in quantitative field
- Understanding of banking industry and risk management
- Extracting business insights from data
- Deploying automations and AI systems
- Databricks experience
- Graph databases experience (e.g. Neo4j)
- Large Language Models (LLM) experience
- Python programming skills
- Spark programming skills
- Cypher programming skills
- SQL programming skills
- Data visualization tools familiarity (e.g. Power BI)
- Version control systems familiarity (e.g. GitHub)
- Cloud platforms familiarity (e.g. Azure)
- Strong communication skills
- Ability to translate complex topics to non-technical language
Tasks
- Contribute to data science initiatives in automation and generative AI
- Design and build graph-based data models in Neo4j
- Maintain real-time reporting and analytical applications
- Model complex relationships transparently
- Demonstrate interest in data and emerging technologies
- Understand key regulatory principles for big data and AI
- Communicate solutions to technical and non-technical stakeholders
- Ensure transparency and shared understanding
- Understand banking processes and risk management
- Work with relevant IT platforms for implementation
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Databricks
- Neo4j
- Large Language Models (LLM)
- Python
- Spark
- Cypher
- SQL
- Power BI
- GitHub
- Azure
Benefits
Flexible Working
- Hybrid work
Mentorship & Coaching
- Professional and personal development support
Startup Environment
- Dynamic environment
Informal Culture
- Experienced colleagues
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Erste Group
Industry
FinancialServices
Description
The company is one of the largest banking groups in Central and Eastern Europe, offering diverse career opportunities.
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