Vladi Šebo

- Exploring and developing applications of AI in underwriting and risk decision systems - Analyzing how AI can improve risk scoring, fraud detection, and insurance operations - Working with data concepts, Power BI, and decision-making frameworks - Focused on bridging insurance domain knowledge with AI-driven solutions

Support insurance underwriting decision processes by designing and maintaining control checks that ensure decisions are consistent, compliant, and auditable. Translate underwriting guidelines into actionable control logic (risk thresholds, escalation triggers, required data inputs). Analyze underwriting and operational data to identify control gaps, recurring exceptions, and process inefficiencies. Collaborate with underwriting, operations, compliance, and technology stakeholders to align controls with busi

* Worked with reinsurance contracts across P&C, liability, and complex risk structures * Evaluated risk exposure and supported underwriting decisions * Coordinated with brokers, insurers, and internal teams on contract terms and risk profiles * Gained experience in large-scale risk distribution and financial exposure

Management, marketing, business-consulting. Foreign business meeting, leadership. Main focus of my final thesis: Influence of foreign-investments on small and media-sized enterprises in Slovak republic. Title of qualification awarded Ing. - engineer of economics - Master degree Principal subject

Finance, insurance, banking