Xceedance, a provider of technology-enabled services and operational solutions for the global insurance industry, has appointed Vikas Wadhera as Senior Vice President as the company seeks to further develop its catastrophe modelling and exposure management capabilities.
The appointment forms part of Xceedance’s broader strategy to strengthen its catastrophe analytics offering for insurers, reinsurers and managing general agents (MGAs) facing increasingly complex risk and exposure challenges.
According to Xceedance, the company has established a strong position within the catastrophe modelling market, particularly across the Lloyd’s market in the UK and the United States.
Supported by a large team of catastrophe modelling specialists and analysts, Xceedance says it processes more than 120,000 insured risks each day while providing end-to-end analytical support. The company also states that its data-driven approach has helped reduce unexpected catastrophe pricing variances by a factor of seven across client portfolios.
Wadhera joins Xceedance with more than 27 years of experience in catastrophe modelling, actuarial analysis and risk analytics. During his career, he has overseen the development of global analytics operations, led client engagement initiatives and supported business growth through innovation and technology adoption.
Prior to joining Xceedance, Wadhera served as Senior Vice President and Head of Knowledge Services at Guy Carpenter, where he was responsible for leading global analytics and advisory teams that supported the firm’s broking activities. Before that, he held senior leadership positions at RMS, now part of Moody’s, where he was involved in advancing the use of catastrophe modelling and analytical tools in business and risk management decisions.
Announcing the appointment, Subramanian Sankaran, President and Global Chief Operating Officer of Xceedance, said: “Vikas brings deep domain expertise and a proven track record in scaling catastrophe modeling and analytics operations globally.
“His leadership will be instrumental in strengthening our ability to deliver high-quality, modelling data, improve decision-making for our clients, and expand the impact of our catastrophe and exposure management services. He will focus on transforming legacy processes into scalable, modern workflows, enhancing user experience, and deploying AI-led solutions for intelligent data ingestion and analysis.”
Wadhera added: “I am excited to join Xceedance at a time when insurers are rethinking how they manage catastrophe risk and exposure data, while accelerating digital transformation and leveraging AI to enhance underwriting, improve risk assessment, and enable faster, data-driven decision-making that ultimately delivers better outcomes for businesses. Xceedance’s combination of deep insurance expertise, advanced analytics, and scalable technology platforms creates a strong foundation to deliver more accurate, decision-relevant insights.
“I look forward to working with our teams and clients to enhance risk transparency, strengthen underwriting outcomes, and drive measurable impact across global portfolios.”
Xceedance also highlighted Wadhera’s involvement in industry initiatives aimed at advancing catastrophe modelling practices. His experience includes working on resilience-focused programmes and collaborating with multilateral organisations, including participation in activities linked to the Sendai Framework and the Geneva Association’s climate risk working group.
The company further noted that its catastrophe modelling operations are supported by its proprietary Risk Data Platform (RDP), which is designed to integrate with major catastrophe modelling systems.
According to Xceedance, the platform’s API-based architecture enables connectivity with underwriting platforms while supporting data governance requirements. The company reports that implementations of the platform have delivered handling time reductions of between 60% and 70%, generated cost savings of approximately 50%, and saved thousands of operational hours each year.
