Senior Vice President, Risk & Portfolio Analytics

Senior Vice President, Risk & Portfolio Analytics

Position Summary

The Senior Vice President, Risk & Portfolio Analytics exists to lead and own the analytics capability across Avoca Risk and its affiliated MGAs. The role is accountable for delivering data-driven portfolio insights, pricing discipline, and performance analytics that support underwriting strategy, capital allocation, and business growth. This position owns a critical enterprise capability spanning actuarial oversight, catastrophe modeling, business intelligence, and portfolio management, serving as both a strategic advisor and hands‑on leader. The role directly supports organizational growth, underwriting performance, and scalable analytics transformation. Key Responsibilities

Functional Leadership & Ownership

Ownership of the enterprise analytics function across all platform MGAs. Accountability for analytics strategy, governance, and roadmap execution. Acting as a subject matter expert and primary decision‑maker for portfolio analytics, pricing, and risk insights. Partnering with underwriting, finance, technology, and capital stakeholders to align analytics outputs with business needs. Hands-On Execution & Delivery

Direct execution of deep-dive portfolio analysis, actuarial evaluations, and pricing assessments. Overseeing catastrophe modeling workflows and exposure analytics using RMS and related tools. Designing and maintaining analytics processes, reporting structures, and evaluation frameworks. Supporting product and contract reviews to ensure pricing adequacy and technical soundness. Creation and maintenance of portfolio reporting, dashboards, and KPI tracking. Ensuring accuracy, quality, and integrity of analytics outputs and data. Providing regular management reporting and ad hoc analytics for decision support. Monitoring portfolio performance, identifying risks, and resolving issues proactively. Cross-Functional Partnership & Integration

Partnering with underwriting, finance, and technology teams to integrate analytics into business workflows. Translating complex analytics into clear, decision‑ready insights for senior leadership and stakeholders. Supporting alignment across functions and ensuring analytics outputs meet downstream needs. Improving collaboration and resolving cross‑functional challenges. Growth, Change & Special Initiatives

Leading or supporting growth initiatives, new program launches, and analytics expansion efforts. Participating in planning, execution, and delivery of transformation initiatives. Building scalable processes and repeatable analytics frameworks. Ensuring continuity and alignment during organizational change. Process Improvement & Best Practices

Identifying opportunities to enhance analytics processes, tools, and methodologies. Driving automation and scalability across reporting and modeling capabilities. Staying current on actuarial, analytics, and insurance industry best practices. Championing adoption of improved, efficient ways of working. Center of Excellence (COE) Contribution

Contributing thought leadership and expertise to the analytics capability across the enterprise. Translating strategy into scalable analytics tools, frameworks, and processes. Developing documentation, playbooks, and standards. Partnering with functional groups to deliver integrated solutions and support change initiatives. Accountability

Delivering effective, scalable, and strategy‑aligned analytics outcomes. Maintaining high standards of quality, accuracy, and reliability. Supporting execution during growth, transformation, and change. Building strong cross‑functional partnerships and demonstrating ownership and sound judgment in decision‑making. Required

Qualifications

Significant experience within insurance, reinsurance, MGA/MGU, or brokerage environments. Strong actuarial foundation with ACAS, FCAS, or equivalent progress preferred. Knowledge of ISO-based pricing methodologies and P&C structures. Experience with RMS or other catastrophe modeling platforms. Hands‑on experience with SQL, Python, Power BI, or similar tools. Demonstrated leadership and ability to build and develop teams. Strong communication and stakeholder influence skills. Preferred

Experience leading analytics transformation or enterprise initiatives. Advanced certifications in actuarial or analytics disciplines. Experience operating in multi‑entity or global environments. Key Competencies

Strategic & Systems Thinking Ownership & Accountability Data-Driven Decision Making Process Design & Continuous Improvement Consulting, Influence & Collaboration Change Agility Business Acumen

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