Senior Revenue Intelligence Quantitative Analyst

Acrisure

Atlanta (GA)

On-site

USD 137,000 - 185,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Wellness resources

Job summary

Acrisure seeks a Lead Quantitative Analyst to join Revenue & Commission Insights, building transparent, driver-based models that connect policy-level data to GAAP results and inform strategic decisions. This senior role blends financial analysis with econometric modeling.

You will develop time-series forecasts, perform segmentation analyses, and deliver production-ready analytics in Python, SQL, Palantir, and Power BI to equip senior leadership with clear, actionable revenue insights.

Qualifications

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.

Responsibilities

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.