Lead Quantitative Analyst, Revenue Intelligence

Acrisure Arena In Greater Palm Springs; Michigan; On-site; USD 137,000 - 185,000; Full time

Job summary

Acrisure, a global fintech leader, is seeking a Lead Quantitative Analyst to join the Revenue Intelligence team. The role sits at the intersection of financial analysis and quantitative modeling, delivering transparent, driver-based models that feed strategic decisions.

Reporting to the Head of Revenue & Commission Insights, this is a senior individual contributor role with emphasis on interpretable models.

Qualifications

• Deep expertise in econometric and statistical modeling methods, including time-series, regression, and causal inference.
• Strong financial acumen; connect operational and economic drivers to financial results.
• Comfort with AI-assisted development tools, including Claude Code.
• Excellent communication to translate quantitative findings for non-technical audiences.
• Ability to manage multiple modeling workstreams independently and deliver high-quality work.

Responsibilities

• Build and maintain time-series forecasting models for GAAP revenue with economic drivers.
• Develop econometric models to quantify drivers across segments and channels.
• Design scenario tools for real-time revenue forecasting under varying assumptions.
• Connect policy/transaction data to GAAP results to link operational metrics with revenue.
• Analyze growth and retention by line, segment, and geography for actionable insights.
• Create analytics frameworks for advisor productivity and revenue growth opportunities.
• Build Power BI dashboards to translate model outputs for senior leadership.

Skills

Time-series analysis

Econometric modeling

Statistical modeling

Forecasting

Python

SQL

Palantir

Power BI

Claude Code

Education

Master's degree in Quantitative Finance, Financial Economics, Statistics, Econometrics, or related field

Tools

Python

SQL

Palantir

Claude Code

Power BI

Job description

Lead Quantitative Analyst, Revenue Intelligence

Acrisure A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringingcutting-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 aLead Quantitative 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 deepexpertise in 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 andmaintain time-series forecasting models for GAAP revenue, incorporating economic drivers including retention rates, new business growth, and pricing trends.

Develop econometric models toidentify and 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 andmaintain scenario 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 to identify high-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 andmaintain analytical 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 with Data & Analytics and Financial Systems teams to define data requirements, resolve data quality issues, and expand access to policy-level and commission data sources including Applied Epic.

Build Power BI dashboards and reporting layers that translate complex model outputs into clear, decision-ready visualizations for senior finance and business leadership.

Requirements

Deepexpertise in econometric and statistical modeling methods — including time-series analysis, regression modeling, and causal inference — with a strong preference for interpretable, driver-based approaches over black-box prediction.

Strong financial acumen, with the ability to connect operational and economic drivers to financial statement outcomes; prior experience in financial services, insurance, or a similarly complex revenue environment is a plus.

Comfort working with AI-assisted development tools, including Claude Code, to accelerate analytical workflows and improve code quality.

Excellent communication skills — able to translate complex quantitative findings into clear narratives and business recommendations for non-technical audiences, including senior finance and business leaders.

Strong project ownership mindset; able to manage multiple modeling workstreams independently, prioritize effectively, and deliver high-quality work in a fast-paced environment.

Strong stakeholder management with the ability to navigate across businessunits toidentify and understand business needs and translate into budgeting and forecasting processes.

Preferred Qualifications

Master's degree in Quantitative Finance, Financial Economics, Statistics, Econometrics, or a related field (e.g., MS in Mathematical Finance & Financial Technology or equivalent program). Experience in insurance brokerage, financial services, or a multi-entity organization with complex revenue recognition dynamics. Familiarity with insurance production systems such as Applied Epic or comparable commission and policy management platforms. Experience supportingfinancial planning& analysis , strategic finance, or business intelligence functions with quantitative modeling outputs. Experience withfinancial modeling and3-statement synthesis Experience managingcomplex financial projects across multiple business units and stakeholder groups #LI-Onsite #LI-MV1

Pay Details

The base compensation range for this position is $137,000 - $185,000. This range reflects Acrisure's good faith estimate at the time of this posting. Placement within the range will be based on a variety of factors, including but not limited to skills, experience, qualifications, location, and internal equity. Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.

Why Join Us

At Acrisure, we’re building more than a business, we’re building a community where people can grow, thrive, and make an impact. Our benefits are designed to support every dimension of your life, from your health and finances to your family and future. Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, NewYork.

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