Chief Pricing Actuary – Global Wholesale and Specialty

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About Everest:

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

About the role:

Everest is seeking a visionary and commercially-minded Chief Pricing Actuary –
Global Wholesale and Specialty to lead the evolution of pricing, underwriting
decision science, and advanced analytical capabilities across its Global Wholesale and Specialty businesses, which covers all Insurance and Facultative business at Everest.

Reporting directly to the Global Chief Actuary, this executive will be responsible for defining and executing the global pricing strategy, modernizing pricing
capabilities, and building a best-in-class pricing organization that leverages
advanced analytics, artificial intelligence, machine learning, and data-driven
underwriting insights to create sustainable competitive advantage.

The successful candidate will serve as a strategic partner to Underwriting, Finance, Risk, Technology, and Executive Leadership, driving profitable growth through innovation, underwriting excellence, and disciplined pricing governance. This leader will play a critical role in transforming the pricing function into a future-focused center of excellence that enables faster, smarter, and more informed underwriting decisions.

Key Responsibilities

Strategic Leadership & Transformation

• Partner with the Global Chief Actuary and business leadership to define and execute the long-term vision for pricing, underwriting decision science, and analytical innovation across Everest’s Global Wholesale and Specialty businesses.

• Lead the transformation of the pricing organization into a technology- enabled, analytics-driven function focused on innovation, efficiency, and business impact.

• Champion the adoption of artificial intelligence, machine learning, predictive analytics, and emerging technologies to enhance underwriting performance and business outcomes.

• Establish a culture of continuous improvement, innovation, experimentation, and intellectual curiosity across the actuarial organization.

• Serve as a key member of the Global Actuarial Leadership Team and a trusted advisor to senior executives.

• Challenge conventional approaches to pricing and underwriting, harness emerging technologies, and build next-generation pricing capabilities that position Everest as an industry leader in data-driven underwriting and risk selection.

Pricing Strategy & Underwriting Performance

• Develop and oversee global pricing strategies that support Everest’s profitability, growth, return on capital, and underwriting objectives.

• Partner closely with underwriting leadership to establish product and market-specific pricing strategies.

• Monitor pricing adequacy and business performance through regular reviews and analytics-driven insights.

• Drive underwriting performance improvement initiatives through enhanced segmentation, risk selection, and profitability management.

• Lead profitability studies and business performance reviews to identify opportunities for growth, remediation, and capital optimization.

• Monitor emerging market, social inflation, legal, economic, regulatory, and competitive trends and incorporate insights into pricing strategies, assumptions, and underwriting guidance.

• Drive continuous refinement of pricing assumptions, methodologies, and risk segmentation to reflect evolving loss experience and market conditions.

Advanced Analytics, AI & Decision Science

• Establish a roadmap for integrating AI and machine learning into pricing, underwriting, and operational workflows.

• Drive development of predictive models, risk scoring methodologies, underwriting decision tools, and real-time underwriting insights.

• Partner with the Business Solutions and Actuarial R&D teams to develop scalable analytical solutions and next-generation underwriting tools.

• Promote the responsible use of AI through strong governance, transparency, explainability, and model risk management practices.

• Identify opportunities to automate manual processes and improve underwriting efficiency through intelligent workflow solutions.

Pricing Models & Infrastructure

• Oversee the design, development, validation, deployment, and governance of pricing models across all Global Wholesale and Specialty businesses.

• Ensure pricing models are calibrated to Everest’s return-on-capital management objectives.

• Establish and maintain a robust technical pricing framework grounded in return-on-capital principles, ensuring pricing models appropriately reflect expected loss costs, catastrophe risk, expense loads, capital utilization, and target profitability across Global Wholesale and Specialty businesses.

• Ensure actuarial methodologies, assumptions, and model frameworks remain technically sound, market-leading, and aligned with evolving risk characteristics.

• Oversee model performance monitoring, recalibration, and enhancement to maintain pricing accuracy and business relevance.

• Lead modernization of pricing platforms, tools, and infrastructure to support scalability, consistency, and operational excellence.

• Partner with Technology teams to embed pricing and analytical capabilities directly into underwriting workflows and decision-making processes.

• Advance data quality, model performance monitoring, and pricing effectiveness measurement across the organization.

Transactional Pricing & Catastrophe Pricing Support

• Provide strategic guidance on large, complex, and high-profile transactions.

• Support underwriting leadership through sophisticated risk assessment and transaction-level pricing analysis.

• Ensure appropriate catastrophe pricing methodologies, tools, and insights are available to support underwriting decisions for catastrophe-exposed risks.

• Partner closely with Catastrophe Analytics and Underwriting teams to incorporate catastrophe risk assessments into pricing decisions.

• Ensure robust analytical frameworks are available to support complex risk evaluation and underwriting decisions.

Governance & Risk Management

• Establish and maintain global pricing governance standards, frameworks, controls, and policies.

• Lead pricing model governance and peer reviews and support validation and audit processes.

• Ensure compliance with regulatory, actuarial, and internal governance requirements.

• Partner with Enterprise Risk Management and Model Risk Management functions to maintain strong oversight of analytical methodologies and models.

• Promote consistency and transparency across all pricing and analytical activities globally.

Business Partnership & Enterprise Collaboration

• Partner with Reserving, Finance, Capital Management, Enterprise Risk Management, Claims, and Underwriting teams to support enterprise objectives.

• Contribute to business planning, underwriting strategy, and capital allocation decisions.

• Advise executive leadership on pricing performance, profitability trends, and strategic opportunities.

Talent & Organizational Leadership

• Lead and develop a high-performing global pricing and analytics organization.

• Attract, retain, and develop top actuarial, data science, and analytical talent.

• Foster a collaborative, diverse, and inclusive culture focused on innovation, accountability, and continuous learning.

• Develop future leaders and establish clear succession planning across the function.

• Create opportunities for professional growth and advancement through mentoring, coaching, and strategic talent development.

Skills, Knowledge & Abilities

• Proven track record leading large-scale actuarial, analytics, or pricing organizations within specialty insurance, wholesale insurance, reinsurance, or facultative markets.

• Demonstrated ability to influence business strategy and drive enterprise- wide change at executive levels.

• Strong commercial acumen with deep understanding of specialty and wholesale insurance business models.

• Recognized thought leader in pricing, underwriting decision science, predictive analytics, and underwriting performance management.

• Experience driving digital transformation, AI adoption, and modernization initiatives within insurance organizations.

• Strong understanding of machine learning, predictive modeling, advanced analytics, and emerging technologies.

• Deep expertise in exposure-based pricing, catastrophe risk pricing, stochastic techniques, risk segmentation, predictive modeling, and advanced pricing methodologies.

• Strong understanding of return-on-capital frameworks, capital allocation principles, and risk-adjusted performance measurement.

• Strong actuarial judgment with demonstrated expertise in translating complex actuarial analyses into practical underwriting and business decisions.

• Deep understanding of industry trends, emerging risks, market cycles, social inflation, and evolving loss cost drivers across specialty and wholesale businesses.

• Recognized ability to balance technical rigor with commercial pragmatism in dynamic market environments.

• Excellent leadership, communication, and stakeholder management skills.

• Ability to translate complex analytical insights into actionable business decisions.

• Strong project and change management capabilities with a track record of delivering transformational outcomes.

• Growth mindset with a passion for innovation, learning, and continuous improvement.

Education & Experience

• Fellow of the Casualty Actuarial Society (FCAS) required.

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, Economics, Engineering, or related discipline preferred.

• Minimum 15 years of actuarial pricing and leadership experience.

• Demonstrated experience leading global teams and complex cross- functional initiatives.

• Strong knowledge of modern analytical technologies and programming languages, including Python, SQL, R, and cloud-based analytical environments.

• Experience implementing AI, machine learning, and advanced analytical solutions within insurance organizations preferred.

Success Profile

The successful candidate will be a transformational leader who combines actuarial excellence with strategic vision, technological curiosity, and business acumen. This individual will help redefine how Everest leverages data, analytics, and artificial intelligence to improve underwriting decisions, enhance pricing sophistication, anticipate emerging risks and market trends, accelerate decision-making, and drive profitable growth across its Global Wholesale and Specialty businesses.

The base salary range for this position is $344,000 - $400,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. 

• Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
• Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.  

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. 

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Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at [email protected].

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