2 Catastrophe Modeling Jobs nearby Faridabad

As Vice President Catastrophe Modeling, you will be responsible for spearheading a high-impact analytics portfolio which includes driving global service delivery, capability expansion, and digital transformation across catastrophe modeling, exposure management, and insurance analytics. You will be reporting to the EVPData & Analytics and will be based in Gurugram, Noida, Bangalore, or Pune. Your role will involve leading a large CAT team supporting global insurers, overseeing multi-service engagements, client governance, and innovation workshops. Additionally, you will be architecting strategy for CAT and exposure analytics, building centers of excellence, scaling AI/ML and data engineering teams, and delivering next-gen solutions in climate analytics, predictive underwriting, and embedded intelligence. With full P&L ownership, you will be optimizing margins, modernizing delivery through automation and proprietary platforms, and shaping commercial models for monetizable analytics products. You will also be expected to mentor senior talent, publish thought leadership, and represent the firm at global forums to establish its position as a digital-first powerhouse in insurance transformation. **Key Responsibilities:** - Manage multi-service engagements involving catastrophe modelling, exposure management, data engineering, and analytics. - Oversee delivery for one of the largest cat team 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 aimed at exploring innovation and transformation opportunities with clients. - Prepare white papers, research articles, and industry analyses to share perspectives 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 modernization. **Capability & Operations Leadership:** - Define and implement the CAT and exposure analytics strategy to align 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, utilizing previous insights and business intelligence. - Expand analytics coverage to include underwriting, claims, portfolio management. Build the specialized teams in exposure analytics, AI/ML, and data engineering. - Develop efficient operating models to improve productivity, quality, and value for future requirements. - Build capabilities for emerging risks, provide services to clients, and conduct various Proofs of Concept (PoCs). - Drive cross-functional innovation sprints to develop advanced analytics offerings such as climate analytics, embedded insurance intelligence, and predictive underwriting. **P&L Ownership:** - Oversee end-to-end planning, execution, and profitability for 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 for data processing, catastrophe modelling, and event response. - Build and deploy proprietary platforms to modernize and advance exposure management and analytics processes. - Lead initiatives focused on automation and digitization, aiming to minimize manual intervention, accelerate turnaround times, and reduce defects. - Design and develop data-driven products, platforms, and APIs with monetization potential through subscription or on-demand business models. - Oversee the complete lifecycle of analytical products, from minimum viable product (MVP) development to client deployment and ongoing enhancement. - Collaborate with go-to-market and pricing teams to define commercial models including OPEX, hybrid, and value-based strategies for analytics solutions. **Leadership & Innovation:** - Lead global teams, spanning operations, product, research, and consulting. - Foster a culture of innovation and transformation through an in-house innovation lab. - Mentor senior leaders and influence enterprise-wide strategy in capability building and operational excellence. - Publish research to reinforce the company's market leadership. Represent the company at forums on resilience, digital transformation, and AI-driven risk analytics. **Talent Development & Knowledge Management:** - Establish and scale frameworks such as XCERA (Catastrophe Expert in Risk Analytics) to influence both internal standards and industry-wide capabilities. - Recruit, mentor, and develop a skilled team of data scientists, statisticians, domain experts, and product managers. - Create internal training, certification, and career development programs to enhance organizational capabilities. - Promote reuse of best practices, templates, frameworks, and toolkits across the organization. **Qualifications:** - Masters degree in Mathematics, Statistics, Actuarial Science, Financial Management, or a related field required; advanced degrees (specialization or Ph.D.) 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 with attention to detail. - Demonstrated leadership ability to guide teams toward objectives. - Excellent communicator, able to explain complex topics simply. - Preferred background in insurance, reinsurance, or financial services. - Professional certifications like CPCU, ACAS, or FCAS are advantageous. Please note that the company is a leading global consulting and technology services firm empowering insurance entities with strategic operations support, digital transformation, and data-driven solutions for insurers, agents, brokers, MGAs, and reinsurers worldwide. If you are interested in this role, you may apply directly at aishwarya@beanhr.com.,

As the Senior Vice President (SVP) of Catastrophe Modelling & Exposure Management, you will play a crucial role in leading our global (re)insurance clients towards service excellence, capability expansion, and digital transformation. Reporting to the EVP Data & Analytics, your strategic leadership will drive innovative solutions across analytics delivery. **Key Responsibilities:** - Lead large-scale, multi-service engagements encompassing catastrophe modeling, exposure management, data engineering, and advanced analytics. - Oversee client delivery and governance to maintain consistent quality, drive innovation, and foster business growth. - Develop and execute analytics strategy, establishing centers of excellence and expanding coverage in underwriting, claims, and portfolio analytics. - Take ownership of P&L delivery, focusing on profitability, margin optimization, and scalable growth. - Drive AI-driven transformation and digital automation initiatives to modernize modeling and exposure management processes. - Collaborate with cross-functional teams to create proprietary platforms, analytical products, and monetizable IP assets. - Mentor senior leaders, nurture an innovation culture, and represent the organization at key industry forums. **Desired Experience & Skills:** - Possess 18+ years of leadership experience in global analytics and technology delivery within the P&C insurance or reinsurance sector. - Demonstrate expertise in catastrophe modeling, exposure management, actuarial analytics, and data transformation. - Exhibit a strong track record of scaling teams, managing multi-million-dollar portfolios, and achieving year-over-year growth. - Have hands-on knowledge of modeling tools such as RMS, AIR, or equivalents. - Hold an advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Actuarial Science, or a related field. - Be a strategic thinker, exceptional communicator, and deeply passionate about innovation-led transformation. Joining our global analytics leadership team will allow you to contribute to redefining risk intelligence for the insurance industry through AI, data science, and automation. This role presents an exciting opportunity to shape the future of risk analytics at scale. In an industry characterized by uncertainty, true leaders like you don't just predict the futurethey build the systems that define it. As the Senior Vice President (SVP) of Catastrophe Modelling & Exposure Management, you will play a crucial role in leading our global (re)insurance clients towards service excellence, capability expansion, and digital transformation. Reporting to the EVP Data & Analytics, your strategic leadership will drive innovative solutions across analytics delivery. **Key Responsibilities:** - Lead large-scale, multi-service engagements encompassing catastrophe modeling, exposure management, data engineering, and advanced analytics. - Oversee client delivery and governance to maintain consistent quality, drive innovation, and foster business growth. - Develop and execute analytics strategy, establishing centers of excellence and expanding coverage in underwriting, claims, and portfolio analytics. - Take ownership of P&L delivery, focusing on profitability, margin optimization, and scalable growth. - Drive AI-driven transformation and digital automation initiatives to modernize modeling and exposure management processes. - Collaborate with cross-functional teams to create proprietary platforms, analytical products, and monetizable IP assets. - Mentor senior leaders, nurture an innovation culture, and represent the organization at key industry forums. **Desired Experience & Skills:** - Possess 18+ years of leadership experience in global analytics and technology delivery within the P&C insurance or reinsurance sector. - Demonstrate expertise in catastrophe modeling, exposure management, actuarial analytics, and data transformation. - Exhibit a strong track record of scaling teams, managing multi-million-dollar portfolios, and achieving year-over-year growth. - Have hands-on knowledge of modeling tools such as RMS, AIR, or equivalents. - Hold an advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Actuarial Science, or a related field. - Be a strategic thinker, exceptional communicator, and deeply passionate about innovation-led transformation. Joining our global analytics leadership team will allow you to contribute to redefining risk intelligence for the insurance industry through AI, data science, and automation. This role presents an exciting opportunity to shape the future of risk analytics at scale. In an industry characterized by uncertainty, true leaders like you don't just predict the futurethey build the systems that define it.

As a CAT Modeling professional at WNS, you will play a crucial role in Portfolio Modeling, Regulatory Reporting, Model Validation, and Technical Solutions within the global reinsurance client domain. - **Portfolio Modeling:** - Understand Cat Modeling process and workflows - Run vendor catastrophe modeling platforms (RMS, AIR, Elements) for insureds and conduct portfolio risk analyses - Assist clients in understanding catastrophe risk through analytics - Provide analytical support, develop processes, prepare reports, and ensure SLAs are met - **Regulatory Reporting:** - Run catastrophe modeling platforms for accumulation analysis for reporting needs - Understand regulatory requirements and deliver accordingly - Provide analytical support, develop processes, ensure SLAs are met, and communicate with stakeholders - **Model Validation:** - Perform model validation, provide recommendations, and work with internal teams and data providers - Contribute to Group projects, produce customized reports, and evaluate re/insurance pricing - Analyze catastrophe reinsurance structures, support placements, and identify learnings from post-event reviews - **Technical Solution (SQL Query):** - Work as a Catastrophe Modelling Analyst in the Accumulation Management department with the Technical Solutions team - Develop customized tools and databases, maintain existing tools, and assist users with technical questions - Test new functionality, design new tools, and collaborate with global colleagues on projects **Qualifications Required:** - Strong analytical and numerical ability - Experience with catastrophe data - Excellent communication skills - Desirable requirements include knowledge of commercial insurance, coding experience, and proficiency in Excel If you have the required skills and qualifications, this role offers you a unique opportunity to work with cutting-edge technology and contribute to the digital transformation of the reinsurance industry. We welcome you to be a part of our dynamic team at WNS.,