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Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

The Senior FP&A Analyst owns Behavox's core financial model - its architecture, the accounting beneath it, and the forecasts and analysis the company plans and decides by. The role exists to change decisions, not report them: it turns the numbers into the choices leadership actually faces. It reads and integrates budgets into the model, but does not run the budgeting cycle.

The same analyst builds the valuations, scenarios, and pro-forma models behind every acquisition - evaluating targets, running diligence, and folding closed deals into a single consolidated view. This work is periodic and must be carried alone when it arrives; the steady state is the operating model and SaaS forecasting.

This is a high-autonomy role that works without a detailed brief and sets the modeling standard others build on. It is accountable for the accuracy and integrity of the numbers, and for turning them into recommendations sharp enough to act on - the downside case included, not just the point estimate - for senior leadership, the board, and investors. It pressure-tests the assumptions behind every result, works fluently with modern tooling and AI, and compounds that edge by learning relentlessly. Its influence comes from the rigor and reach of the analysis, not from authority: it owns the model and the truth it tells, not the decisions made from it.

1. Financial Model & Accounting Foundations - Knows how an integrated three-statement and operating model fits together, and the accounting that holds it up - SaaS revenue recognition and cost treatment included. Understands exactly how the company's budgets are built, and folds them into the model.
2. Forecasting & SaaS Unit Economics - Knows both bottom-up short-term forecasting and driver-based long-term modeling, and the SaaS metrics that actually reveal performance. Knows what moves each one and which lever changes it - not just how to report it.
3. Mergers, Acquisitions & Integration - Knows how to value an acquisition and how to fold it into one consolidated model: purchase accounting, combined-entity projections, and the mechanics that make or break the integration.
4. Business & Commercial Acumen - Knows in depth how the business and every function make money - the revenue drivers, the cost structure, the operating levers - and spots a number that doesn't add up on sight.
5. Financial Systems & AI Tooling - Commands Google Sheets and Excel, and tracks the AI and automation landscape closely enough to know where it is trustworthy and where it isn't.

1. Financial Model Ownership - Builds and maintains the core three-statement and operating model with scenario and sensitivity layers, and keeps it accurate, clean, and easy to maintain. Integrates budgets without owning the cycle, and owns the accuracy of every output and the integrity of every assumption.
2. Acquisition Modeling & Integration - Builds the valuations, scenarios, and pro-forma combined-entity models behind acquisition evaluation and due diligence, and folds closed deals into a single consolidated view.
3. Business-Review Reporting - Drives much of the substance of the monthly, quarterly, and annual business reviews - with the broader FP&A team - for senior management, the board, and investors, turning the model into a narrative that explains what moved the results and what it means for the business.
4. Metrics Analysis & Business Partnering - Diagnoses why the metrics are moving and which lever changes them, pressure-tests the assumptions behind every result, and hands the decision-maker a recommendation they can act on.
5. AI-Enabled Productivity - Uses AI and spreadsheet automation to compress cycle time and harden data validation - automating the recurring work while keeping judgment on what stays manual.

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies.
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence.
• A highly attractive benefits package, including competitive cash compensation, and an equity award aligned with long-term value creation.
• Modern, comfortable offices in Toronto and Montreal. This is a hybrid role (1 day in office). 
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognizing the importance of sustained high performance.

We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment. 
During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies.
The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers. Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible.

• We want to get to know you and have a genuine conversation, so the use of AI tools or assistance during live interviews is strictly prohibited and will result in immediate disqualification from the process 
• Interviews may be recorded for internal review purposes to ensure fairness and enable collaborative hiring discussions within the team.