Senior Vice President

As SVP of Catastrophe Modelling & Exposure Management at Xceedance, you will play a strategic role reporting to the EVPData & Analytics. Your key responsibilities include: - Managing multi-service engagements involving catastrophe modelling, exposure management, data engineering, and analytics. - Overseeing the delivery for one of the largest cat teams supporting multiple global insurance clients, focusing on consistent service standards and client satisfaction. - Facilitating governance discussions and strategic planning with clients to coordinate on roadmaps, KPIs, and growth objectives. - Organizing workshops aimed at exploring innovation and transformation opportunities with clients. - Preparing white papers, research articles, and industry analyses to share perspectives related to insurance and financial analytics. - Participating in conferences, webinars, and client forums to contribute to industry discussions. - Providing publications and insights on topics such as GenAI, embedded analytics, and data modernization. You will be responsible for defining and implementing the CAT and exposure analytics strategy to align with company growth and market trends. Promoting a culture of experimentation and hypothesis-driven solutions within analytics teams and establishing centers of excellence for specific risk areas are also crucial aspects of this role. As the SVP, you will oversee end-to-end planning, execution, and profitability for the business. Tracking revenue, optimizing costs, expanding margins, and ensuring delivery excellence across the entire portfolio will be part of your P&L ownership responsibilities. Collaborating with technology and product teams to build scalable AI tools and IP assets, spearheading business automation, AI integration, digital workflow optimization, and product innovation for data processing, catastrophe modeling, and event response are essential components of your role. In terms of qualifications, you are required to have a Master's degree in Mathematics, Statistics, Actuarial Science, Financial Management, or a related field. Advanced degrees such as specialization or Ph.D. are preferred. Additionally, having at least 15 years of experience in catastrophe modeling, exposure management, or similar roles is necessary. Proficiency with modeling software such as RMS, AIR, or equivalents, strong analytical and problem-solving skills, attention to detail, and demonstrated leadership ability are also key qualifications for this position. Preferred backgrounds in insurance, reinsurance, or financial services and professional certifications like CPCU, ACAS, or FCAS are advantageous.,