Everest

Risk

• Prepare, consolidate, validate, and analyze exposure data across Insurance and Reinsurance portfolios.
• Develop reports, presentations, and management summaries for internal stakeholders and regulatory reporting requirements.
• Support accumulation and exposure analyses across Property, Terrorism, Aviation, Cyber, and Workers’ Compensation portfolios using catastrophe modeling tools as part of enterprise-wide risk assessments.
• Support Credit and Surety accumulation monitoring processes, including data preparation, validation, and review of aggregation results.
• Maintain and enhance dashboards, reporting tools, and analytical processes used for ongoing exposure monitoring and risk reporting.
• Collaborate with Exposure Management, ERM, Underwriting, and other internal stakeholders to analyze, interpret, and communicate risk insights effectively.
• Participate in ad hoc analytical projects aimed at strengthening Exposure Management and ERM methodologies, capabilities, and reporting processes.

Risk Analyst I

General

• Help develop a profitable book of middle to large market-sized E&S Excess Casualty business for General Liability and Commercial Automobile lines.
• Assist in implementing a growth plan for the region and help build brand awareness for Everest.
• Underwrite select new and renewal accounts according to department standards.
• Adhere to underwriting guidelines and referral processes.
• Build and manage a diverse and profitable book of business.
• Cultivate productive relationships with appointed wholesale brokers.
• Develop and manage pricing and risk selection standards that align with strategic goals and financial targets.
• Collaborate effectively with Actuarial, Claims, Loss Control, Operations, Finance, and IT teams.
• Stay informed about competitor strategies and the broader insurance marketplace.

Senior Underwriter, AVP Underwriter – Wholesale Excess Casualty

Actuary

• Serve as a strategic partner to underwriting and executive leadership in driving profitable growth, portfolio optimization, and achievement of financial objectives
• Shape and execute the North America pricing strategy across Wholesale & Specialty businesses
• Lead development and implementation of product and portfolio pricing strategies through close partnership with underwriting leadership
• Partner with executive leadership to optimize portfolio composition and risk-adjusted returns aligned to Everest’s strategic and capital objectives
• Provide strategic actuarial insight and influence on underwriting appetite, business planning, and growth initiatives
• Lead the development, implementation, and continuous enhancement of pricing governance frameworks, methodologies, controls, and best practices across Everest Insurance
• Lead severity, frequency, and exposure studies to evaluate rate adequacy, claims inflation, emerging portfolio trends, and underwriting performance across the North America platform
• Lead portfolio profitability diagnostics and performance analytics to identify opportunities for underwriting, pricing, and capital optimization
• Lead the advancement of pricing analytics capabilities through modern actuarial, predictive analytics, data science, and AI-enabled techniques
• Ensure development, calibration, enhancement, and governance of pricing models aligned with Everest return on equity targets and benchmark pricing expectations
• Drive modernization of pricing infrastructure, data environments, tools, and underwriting workflow integration
• Support transactional pricing and analysis of large and complex risks
• Build, lead, and develop a high-performing pricing organization through talent acquisition, mentoring, succession planning, and career development
• Foster a culture of collaboration, accountability, innovation, and continuous improvement
• Act as a transformational leader and agent of change driving modernization and continuous evolution of pricing capabilities

Vice President II – Chief Pricing Actuary, Insurance

Financial Planning and Analysis

• Conduct analysis on new investment opportunities across the private credit spectrum including direct lending, opportunistic, asset backed etc.
• Support due diligence efforts, including review of diligence materials, legal documentation, financial models, and third-party reports
• Prepare investment memoranda and materials for Investment Committee review
• Assist with portfolio monitoring, performance tracking, and ongoing management of existing investment
• Interface with asset managers, banks, and other counterparties on new investment opportunities and existing portfolio positions
• Liaise with internal teams, including deal execution, accounting, legal, tax, operations, and risk, as part of the investment process
• Support portfolio construction efforts, including cash flow projections, sector allocation and risk concentration analysis
• Support ad hoc projects and broader investment team initiatives as needed

Investment Associate – Private Credit

• Contribute to the development of the new Everest’s Reinsurance pricing tool
• Propose UI designs, actuarial methodologies, platform architecture
• Gather and respond to user feedback from pricing tool users, actuaries, and underwriters
• Program pricing tool features
• Collaborate with IT and other internal teams on the pricing tool build
• Support business-as-usual pricing tool operation
• Help represent the wishes of international users in wider discussions

Senior Actuarial Analyst

• Working as part of the Actuarial Solutions team contribute to the development of the new Everest’s Reinsurance pricing tool
• Propose UI designs, actuarial methodologies, platform architecture, etc., consistent with Everest’s reinsurance pricing approaches
• Gather and respond to user feedback from pricing tool users, actuaries and underwriters, on reinsurance pricing.
• Program pricing tool features
• Help ensure the quality and reliability of the new platform through involvement in testing and quality control
• Collaborate with IT and other internal teams on the pricing tool build
• Support reinsurance pricing during renewal periods using Everest’s pricing tools.

Accounting Manager

• Assist with the preparation and review of financial statements and reporting schedules
• Review of (re)insurance contracts and maintain reinsurance accounts
• Preparation of bank reconciliations, cashbooks and reinsurance analysis reports
• Help maintain a number of accounting ledgers
• Support the internal audit, external audit, statutory reporting and GAAP reporting processes
• Assist with the implementation of operational improvements and changes to relevant policies, procedures and processes
• Assist in the preparation of annual budgets and forecasts
• Various ad hoc projects and duties, as required

Senior Manager, Reinsurance Accounting

Manager

• Provide catastrophe risk assessment to underwriters
• Review data provided by broker and client for data quality assessment (data cleansing)
• Supplement additional data to provide better risk assessment of the exposure (data augmentation)
• Leverage catastrophe modeling models and other analytical tools to provide timely risk assessment to underwriters; identify key risk drivers and suggest mitigation strategies with underwriters
• Lead the charge in developing innovative catastrophe portfolio management solutions: Research, develop, and present critical insights and new ways to understand the portfolio in addition to pre-existing measurements and techniques.
• Apply advanced statistical and analytical skills to create impactful actionable insights that optimize our risk profile and maximize risk-adjusted returns.
• Revolutionize our data analytics capabilities: Enhance our ability to capture, analyze and report on datasets; Improve existing automation tools and build new automations between systems and other existing tools to extract actionable insights to inform critical business decisions.
• Develop impactful visualization tools: Design customized risk metrics, data visualizations, and mapping tools that empower underwriting leaders with actionable insights.
• Communicate with impact: Translate complex analytical findings into clear, concise narratives that resonate with both technical and non-technical stakeholders.
• Assist senior leaders with the evaluation of new CAT market opportunities and emerging technologies, including new insurance programs, underwriting strategy, models, and software tools.

Cat Portfolio Manager

Analyst

• Join Everest’s Data & Analytics team as a Senior Analyst – Data Products, where you will support the design, delivery, and ongoing enhancement of Insurance data and analytics products.
• Support the Data Product Owner, business stakeholders, and IT teams to translate business needs into actionable data solutions, ensure data quality, and enable reliable, scalable analytics.
• Partner with the Data Product Owner and business stakeholders to elicit, document, and prioritize data and analytics requirements.
• Translate business needs into clear user stories, data definitions, mappings, and acceptance criteria for data and technology requirements.
• Perform data analysis and validation using SQL to support requirements, issue investigation, and data quality assurance.
• Support the design and delivery of data pipelines, curated datasets, and data products for Insurance use cases (e.g., Underwriting, Claims, Finance).
• Collaborate with technology data teams to ensure successful delivery of data products, including participation in planning, testing, and release activities.
• Execute and support UAT, QA, and release management processes, ensuring solutions meet business and data quality expectations.
• Investigate and resolve data issues and discrepancies, partnering with business and IT teams and supporting production issue resolution.
• Drive continuous improvement in analytics tools, methodologies, and capabilities.
• Contribute to data quality, governance, and documentation efforts, including data definitions, lineage, and metadata management.

Senior Analyst – Data Products

Data Analyst

• Partner with technology teams to design and deliver scalable data solutions that provide high-quality, reliable data for business use
• Drive adoption and business value from data, analytics, and BI solutions across functions
• Translate business needs into clear data and technology requirements
• Collaborate across business units to standardize and optimize enterprise data assets
• Support data governance and data quality initiatives in close partnership with Technology
• Act as a subject matter expert (SME) for business data inquiries
• Perform ad hoc analysis by extracting, transforming, and modeling data from multiple sources
• Validate and sign off on data deliverables to ensure accuracy, consistency, and adherence to standards
• Contribute to Agile delivery of data initiatives in partnership with Technology teams

Data Analyst – Data & Analytics

Vice President

• Generating above benchmark excess returns and stable net investment income, while remaining within risk management, ALM and guideline constraints.
• Develop fixed income alpha-generation ideas, coordinate trading across managers, and report on results.
• Partner effectively with internal portfolio managers and external managers to execute strategy.
• Produce recurring market overview and portfolio summaries for senior management reporting.
• Conduct ongoing credit surveillance for fixed income holdings, including maintaining a credit watchlist and escalation recommendations.
• Lead manager searches (RFP/RFQ) and perform routine manager due diligence and performance surveillance.
• Support the launch of new portfolios and/or strategies, including implementation planning and resource coordination.
• Enhance asset-liability management (ALM) by partnering with treasury and finance to align portfolio positioning with liability profile, duration, liquidity, and capital objectives.
• Lead investment information systems initiatives, partnering with stakeholders to improve data, tooling, and reporting workflows.
• Collaborate with cross-functional partners on firmwide initiatives that impact investment strategy, operations, and governance.

Vice President, Portfolio Manager – Fixed Income

Research Analyst

• Develop and maintain control structures to ensure data accuracy and quality across upstream and downstream systems
• Conduct data integrity gap analyses and partner with business and IT teams to resolve discrepancies
• Prepare monthly and quarterly claims analytics reports for leadership
• Analyze key performance indicators and support data‑driven decision‑making across the Claims organization
• Support fraud detection, subrogation analysis, medical management reviews, and legal analytics
• Collaborate with business stakeholders to understand requirements and develop tailored data solutions
• Present findings in a clear, concise, and visually compelling format

Insurance Claims Data Analyst

Product Manager

• Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling.
• Partner with business stakeholders across Underwriting, Claims, and other functions to identify, prioritize, and define high-impact AI opportunities.
• Translate business needs into clear product requirements, user stories, and acceptance criteria.
• Develop and maintain product roadmaps aligned with enterprise strategic priorities.
• Lead backlog prioritization and sprint planning in collaboration with data science, engineering, and delivery teams.
• Create detailed process maps and identify opportunities for optimization through AI and automation.
• Ensure successful implementation and adoption of AI solutions, including change management and stakeholder communication.
• Monitor product performance, define KPIs, and drive continuous improvement based on insights and feedback.
• Collaborate closely with technical teams to ensure feasibility, scalability, and integration with existing systems.
• Support and enhance enterprise AI platforms (e.g., EverAssist) by aligning use cases and capabilities with business needs.

AVP, AI Product Owner

• Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling
• Partner with business stakeholders across Underwriting, Claims, and other functions to identify, prioritize, and define high-impact AI opportunities
• Translate business needs into clear product requirements, user stories, and acceptance criteria
• Develop and maintain product roadmaps aligned with enterprise strategic priorities
• Lead backlog prioritization and sprint planning in collaboration with data science, engineering, and delivery teams
• Create detailed process maps and identify opportunities for optimization through AI and automation
• Ensure successful implementation and adoption of AI solutions, including change management and stakeholder communication
• Monitor product performance, define KPIs, and drive continuous improvement based on insights and feedback
• Collaborate closely with technical teams to ensure feasibility, scalability, and integration with existing systems
• Support and enhance enterprise AI platforms (e.g., EverAssist) by aligning use cases and capabilities with business needs.