Algorithmic Cyber Underwriter:in​/AI-Driven Cyber Underwriting Lead

Your Tasks

• Develop and apply algorithmic and AI-driven underwriting approaches in the Cyber line of business
• Design and implement AI use cases across the underwriting value chain, such as:
  Risk assessment of cyber submissions, Pricing decision support and offering functions
• Build and apply prompting strategies to enhance underwriting analysis and decision-making
• Leverage modern technologies, agent-based systems and decision engines
• Translate underwriting expertise into scalable, data-driven models and decision frameworks
• Continuously improve underwriting quality, consistency and speed through automation and AI
• Analyze and optimize underwriting processes with a focus on scalability and standardization
• Collaborate closely with Underwriting, IT and Data Science to develop and deploy solutions
• Ensure integration of algorithmic underwriting approaches into existing systems and workflows

• Strong experience in Cyber Underwriting
• Strong understanding of risk assessment, pricing and underwriting decision logic
• Experience in process optimization, automation or transformation
• Interest in or hands-on experience with AI, machine learning or prompt engineering
• Understanding of data analytics and modern technologies
• Experience in leading projects as well as stakeholder management, e.g. board members, senior executives
• Strong analytical mindset combined with a hands‑on, solution‑oriented approach
• High level of initiative and motivation to shape new underwriting approaches
• Strong communication skills and ability to work across business and technology teams

Flexitime arrangements and flexible working time models allow for a perfect work‑life balance – however it suits you.

Stay healthy with us: thanks to preventive measures, a wide variety of sports and various partnerships.

Whether from home or on the road – our remote working model (up to 60 % mobile) offers you more freedom and independence.

We satisfy your thirst for knowledge – for example with further training, subject‑specific seminars or work and study programmes.