Lead Quantitative Analyst, Revenue Intelligence

Lead Quantitative Analyst, Revenue Intelligence

About Acrisure

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more.

In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.

Job Summary

Acrisure's Revenue & Commission Insights function is building a first-in-kind revenue intelligence capability — connecting operational insurance data to GAAP financial results and translating that connection into forward-looking models that drive strategic decisions. We are seeking aLeadQuantitative Analyst to sit at the intersection of financial analysis and quantitative modeling, bringing rigorous, economically grounded approaches to some of the most complex revenue dynamics in the insurance brokerage industry.

Reporting to the Head of Revenue & Commission Insights, this is a senior individual contributor role. The ideal candidate brings deepexpertisein econometric and statistical modeling,a strong foundation in financial concepts, and the technical fluency to build production-quality analytical tools. This is not a black-box machine learning role — we need models that are transparent, attributable to economic drivers, and defensible to senior finance and business leadership

Responsibilities

Revenue Modeling & Forecasting

• Build andmaintaintime-series forecasting models for GAAP revenue, incorporating economic drivers including retention rates, new business growth, and pricing trends.

• Develop econometric models toidentifyand quantify the drivers of revenue performance across client segments, lines of business, and distribution channels — producing outputs that are interpretable and attributable to specific business factors.

• Design andmaintainscenario analysis tools that enable real-time revenue forecasting under varying macroeconomic and operational assumptions, supporting executive decision-making and financial planning cycles.

• Connect operational data (policy-level and transaction-level) to GAAP financial results, building the analytical bridge between insurance production metrics and recognized revenue.

Growth & Performance Analytics

• Analyze drivers of new business growth and client retention rates by line of business, client segment, and geography — translating statistical findings into actionable insights for senior leaders.

• Build performance analytics frameworks for client advisor productivity,identifying leading indicators of revenue growth and attrition risk at the advisor and book-of-business level.

• Conduct client segment performance analysis,applying clustering and segmentation techniques toidentifyhigh-value growth opportunities and inform resource allocation decisions.

• Partner with FP&A leadership and Strategic Finance Business Partners to integrate quantitative insights into the annual planning and forecasting process.

Tool Development & Data Infrastructure

• Develop andmaintainanalytical models and tools using Python, SQL, and Palantir, with a focus on scalability, reproducibility, and ease of use by finance and business stakeholders.

• Leverage Claude Code and AI-assisted development techniques to accelerate model building, code quality, and documentation — bringing modern development practices into the finance analytics function.

• Partner…