AI & Automation Engineer in Credit Risk (all genders)
Core
Designing and maintaining graph-based data models and automation/AI systems to monitor and steer corporate loan portfolios in real-time.
Role type
AI & Automation Engineer (Credit Risk)
Builds
Real-time reporting, steering, and analytical applications for corporate loan portfolio monitoring
Domain
Banking / Credit Risk / Data Infrastructure
Deliverable
production ML models | product features
Required skills
Graph database modeling (Neo4j), Generative AI, Databricks, Python, Spark, SQL, Cypher, LLM integration, Regulatory compliance (EU AI Act)
Preferred skills
Banking risk management processes, Data visualization (Power BI), Cloud platforms (Azure), Version control (GitHub)
Technologies
Databricks, Neo4j, Azure, Power BI, GitHub, Python, Spark, SQL, Cypher
Responsibilities
Design and maintain graph-based data models for real-time reporting; Contribute to data science initiatives in automation and generative AI; Deploy automations and AI systems; Communicate solutions to technical and non-technical stakeholders
Seniority
Mid-level, hands-on IC