Lead Quantitative Analyst, Revenue Intelligence

Acrisure; Naperville (IL); On-site; USD 137,000 - 185,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Job summary

Acrisure in Naperville, IL is seeking a Lead Quantitative Analyst to join Revenue Intelligence and connect policy-level and commission data to GAAP results. You will build transparent econometric and time-series models, develop scenario tools, and create scalable Python/SQL/Palantir solutions for finance leadership.

The role emphasizes interpretable modeling, collaboration with FP&A, and on-site leadership to drive strategic decisions in a fast-paced environment.

Qualifications

• Bachelor's degree in a quantitative field; Master's preferred.
• 5–10 years of quantitative modeling or economic research experience.
• Advanced proficiency in Python and SQL for data manipulation and model development.
• Experience with BI tools for dashboards and visualizations.
• Experience with enterprise data platforms like Palantir.

Responsibilities

• Build and maintain time-series forecasting models for GAAP revenue.
• Develop econometric models to identify drivers of revenue across segments and channels.
• Design scenario analysis tools for real-time revenue forecasting.
• Connect operational data to GAAP results to link production metrics with revenue.
• Analyze drivers of new business growth and retention for senior leaders.
• Build analytics frameworks for advisor productivity and revenue growth indicators.
• Conduct segmentation to identify high-value opportunities.
• Partner with FP&A to integrate insights into planning processes.
• Develop and maintain analytical models and tools using Python, SQL, and Palantir.
• Build Power BI dashboards translating model outputs into visuals for leadership.

Skills

Time-series analysis

Econometric modeling

Financial acumen

Python

SQL

Palantir

Power BI

Communication

Project ownership

Education

Bachelor's degree in Quantitative Finance, Economics, Statistics, Mathematics

Master's degree strongly preferred

Tools

Python

SQL

Palantir

Power BI

Job description

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 a Lead 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 deep expertise 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 and maintain time-series forecasting models for GAAP revenue, incorporating economic drivers including retention rates, new business growth, and pricing trends.
• Develop econometric models to identify 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 and maintain 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 and maintain 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

• Deep expertise 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 business units to identify and understand business needs and translate into budgeting and forecasting processes.

Required Education And Experience

• Bachelor's degree in Quantitative Finance, Economics, Statistics, Mathematics, or a closely related quantitative field; Master's degree strongly preferred.
• 5–10 years of experience in quantitative modeling, financial analysis, or economic research, with a demonstrated track record of building econometric or statistical models in a business context.
• Advanced proficiency in Python and SQL for data manipulation, model development, and automation.
• Proficiency in Power BI or comparable BI tools for building analytical dashboards and executive-ready visualizations.
• Experience with Palantir or comparable enterprise data platforms for large-scale data integration and analysis.

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 supporting financial planning & analysis, strategic finance, or business intelligence functions with quantitative modeling outputs.
• Experience with financial modeling and 3-statement synthesis
• Experience managing complex financial projects across multiple business units and stakeholder groups

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, New York.

Employee Benefits

• Physical Wellness: Comprehensive medical insurance, dental insurance, and vision insurance; life and disability insurance; fertility benefits; wellness resources; and paid sick time.
• Mental Wellness: Generous paid time off and holidays; Employee Assistance Program (EAP); and a complimentary Calm app subscription.
• Financial Wellness: Immediate vesting in a 401(k) plan; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and employee discount programs.
• Family Care: Paid maternity leave and paid paternity leave (including for adoptive parents); legal plan options; and pet insurance coverage.
• … and so much more!

This list is not exhaustive of all available benefits. Eligibility and waiting periods may apply to certain offerings. Benefits may vary based on subsidiary entity and geographic location.

Acrisure is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Applicants may request reasonable accommodation by contacting [e-mail].

Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.

California Residents:

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