About the role
In 1976, the British statistician George Box wrote that “all models are wrong, but some are useful,” which remains a fundamental principle for anyone attempting to model the complexities of reality. Just as a map would need to be the size of a city to capture every last detail, a financial model that captures every nuance of a business would rival that business in scale. The challenge of a model builder is thus to find the balance between detail and brevity that allows a model to represent the most important dynamics that drive a business, while making the right simplifying assumptions to ensure the model is a useful tool for decision making. At Mercury, we’re revolutionizing banking* for the modern age and building the finance stack that empowers startups to thrive. As we expand our horizons with new business lines and reach more customers, we need financial reporting, models, and infrastructure that evolve at the pace of our business. We’re looking for a Strategic Finance team member to build and own the data, tools, and systems that power Go-to-Market performance and decision-making. In this role, you’ll partner closely with the GTM Strategic Finance Lead to translate economic frameworks into scalable systems that enable teams across Growth, Marketing, and Product to make better decisions. Your Impact: You’ll play a foundational role in building Mercury’s GTM decision engine by: Building and owning the core datasets that power growth decision-making (e.g., CAC, funnel conversion, cohort performance, LTV inputs, cost-to-serve inputs) Creating dashboards and tools that enable teams to understand performance across channels, campaigns, and segments Translating strategic finance frameworks (e.g., payback models, channel scaling rules, ROI thresholds) into scalable systems and decision tools Designing and implementing automations that reduce manual work, standardize decision-making, and accelerate the path from data, to insights, and then to actions Partnering with Growth, Marketing, Sales, Partnerships, Product, and Data teams to improve data quality, attribution, and performance visibility Supporting forecasting and planning processes related to growth and customer behavior Identifying recurring questions or manual processes and proactively building systems, datasets, or tools to eliminate them What You Bring: 3–5 years of experience in strategic finance, growth analytics, bizops, or a similar role in a high-growth environment Strong SQL and data manipulation skills; ability to work directly with large datasets and define clean, scalable data models Expert modeling skills, including building detailed P&Ls and operating models, with experience building models that are actually used by stakeholders Experience working on growth, marketing, or customer-related problems (e.g., CAC, funnels, experimentation, or unit economics) is strongly preferred Strong problem-solving skills with the ability to operate in ambiguity and independently drive problems from definition to a scalable solution A systems-oriented mindset: you instinctively identify recurring questions or workflows and build scalable solutions (e.g., datasets, tools, automations) to eliminate them Strong communication skills, with the ability to translate complex analyses into clear, actionable insights Demonstrated ability to operate in ambiguous environments and translate loosely defined problems into structured, repeatable systems The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and
