Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- Neo4j
- Large Language Models (LLM)
- Python
- Spark
- Cypher
- SQL
- Power BI
- GitHub
- Azure
Benefits
Flexibles Arbeiten
- Hybrid work
Mentoring & Coaching
- Professional and personal development support
Startup-Atmosphäre
- Dynamic environment
Lockere Unternehmenskultur
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 2 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- Neo4j
- Large Language Models (LLM)
- Python
- Spark
- Cypher
- SQL
- Power BI
- GitHub
- Azure
Benefits
Flexibles Arbeiten
- Hybrid work
Mentoring & Coaching
- Professional and personal development support
Startup-Atmosphäre
- Dynamic environment
Lockere Unternehmenskultur
- Experienced colleagues
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Erste Group
Branche
FinancialServices
Beschreibung
The company is one of the largest banking groups in Central and Eastern Europe, offering diverse career opportunities.
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