Senior Vice President, Risk & Portfolio Analytics

Senior Vice President, Risk & Portfolio Analytics- Job Description

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.

Qualifications

Required

• 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