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Behavox is a cloud-native AI company providing an integrated controls platform for global financial institutions—banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management, and front-office analytics on a single, AI-native SaaS stack.
You will own Behavox's core financial model—its architecture, accounting foundations, and the forecasts and analysis that drive leadership decisions. This is a high-autonomy role that turns numbers into the choices leadership actually faces. You will read and integrate budgets into the model (though you do not run the budgeting cycle itself). You will also build valuations, scenarios, and pro-forma models behind every acquisition, evaluating targets, running diligence, and folding closed deals into a consolidated view.
Your influence comes from the rigor and reach of your analysis, not from authority. You own the model and the truth it tells, not the decisions made from it. You are accountable for accuracy and integrity, pressure-testing assumptions behind every result and turning them into sharp recommendations—including downside cases, not just point estimates—for senior leadership, the board, and investors.
Key responsibilities:
- Build and maintain the core three-statement and operating model with scenario and sensitivity layers, keeping it accurate, clean, and maintainable.
- Own acquisition modeling and integration: build valuations, scenarios, and pro-forma combined-entity models for evaluation and due diligence; fold closed deals into consolidated view.
- Drive much of the substance of monthly, quarterly, and annual business reviews for senior management, the board, and investors, turning the model into a narrative explaining what moved results and what it means.
- Diagnose why metrics are moving and which levers change them; pressure-test assumptions and hand decision-makers actionable recommendations.
- Use AI and spreadsheet automation to compress cycle time and harden data validation, automating recurring work while keeping judgment on what stays manual.
Requirements:
- Deep knowledge of integrated three-statement and operating models, and the accounting that holds them up (including SaaS revenue recognition and cost treatment).
- Expertise in both bottom-up short-term forecasting and driver-based long-term modeling; fluency with SaaS unit economics and the metrics that reveal performance.
- Hands-on experience with mergers, acquisitions, and integration: valuation, purchase accounting, combined-entity projections, and integration mechanics.
- In-depth business and commercial acumen: understanding how the business and every function make money, revenue drivers, cost structure, and operating levers.
- Command of Google Sheets and Excel; close tracking of the AI and automation landscape to know where it is trustworthy and where it is not.
