Senior Vice President

Role Overview: As the SVP CAT Modelling with a background in P&C insurance, you will play a strategic role within the company. Reporting to the EVP Data & Analytics, you will be responsible for leading service delivery, capability growth, P&L management, and digital transformation for the analytics business. Key Responsibilities: - Manage multi-service engagements involving catastrophe modelling, exposure management, data engineering, and analytics. - Oversee delivery for one of the largest cat teams supporting multiple global insurance clients, focusing on consistent service standards and client satisfaction. - Facilitate governance discussions and strategic planning with clients to coordinate on roadmaps, KPIs, and growth objectives. - Organize workshops to explore innovation and transformation opportunities with clients. - Prepare white papers, research articles, and industry analyses related to insurance and financial analytics. - Participate in conferences, webinars, and client forums to contribute to industry discussions. - Provide publications and insights on topics such as GenAI, embedded analytics, and data modernisation. Capability & Operations Leadership: - Define and implement the CAT and exposure analytics strategy aligned with company growth and market trends. - Promote a culture of experimentation and hypothesis-driven solutions within analytics teams. - Establish centres of excellence for specific risk areas and expand analytics coverage to include underwriting, claims, portfolio management. - Develop efficient operating models to improve productivity, quality, and value for future requirements. - Drive cross-functional innovation sprints to develop advanced analytics offerings. P&L Ownership: - Oversee end-to-end planning, execution, and profitability for the business. - Track revenue, optimize costs, expand margins, and ensure delivery excellence across the entire portfolio. Transformation & Automation: - Collaborate with technology and product teams to build scalable AI tools and IP assets. - Spearhead business automation, AI integration, digital workflow optimization, and product innovation. - Lead initiatives focused on automation and digitization to minimize manual intervention and reduce defects. - Design and develop data-driven products, platforms, and APIs with monetization potential. Leadership & Innovation: - Lead global teams, fostering a culture of innovation and transformation. - Mentor senior leaders and influence enterprise-wide strategy. - Publish research to reinforce the company's market leadership. Talent Development & Knowledge Management: - Establish frameworks to influence internal standards and industry-wide capabilities. - Recruit, mentor, and develop a skilled team. - Create internal training and career development programs. Qualification Required: - Masters degree in Mathematics, Statistics, Actuarial Science, Financial Management, or related field required; advanced degrees preferred. - At least 15 years of experience in catastrophe modelling, exposure management, or similar roles. - Proficient with modelling software such as RMS, AIR, or equivalents. - Strong analytical and problem-solving skills. - Demonstrated leadership ability. - Excellent communicator. - Preferred background in insurance, reinsurance, or financial services. - Professional certifications like CPCU, ACAS, or FCAS are advantageous.,