Strategic Finance (Senior) Manager

OWN THE MODEL NELO'S LEADERSHIP USES TO DECIDE WHERE TO DEPLOY CAPITAL. You'll own Nelo's financial modeling engine. The company model, scenario planning, and the tooling that helps leadership and operators understand where growth is headed, how revenue is tracking, and what the business looks like under different assumptions. You'll build the cohort-based revenue and loss projections. You'll set up the statistical forecasting layer for GMV and originations. You'll generate the scenario variants that show up in board decks and funding partner updates. About 60 to 70 percent of your time is in the model. The rest is translation: turning what the numbers say into a clear story for founders, board, and funding partners. You'll report into finance leadership and sit close to the teams building the business day to day. At most companies, a seat this close to the decisions requires a title several steps up from this one. This role is based in Mexico City, 80% on-site from our office in Roma Norte. ABOUT NELO Nelo is a leading consumer fintech and e-commerce platform in Mexico, with >$500MM in annualized GMV and >$80MM in annualized revenue. Our mission is to increase the buying power of consumers in Latin America, and we are doing so by building a modern alternative to credit cards. Nelo has raised over $40M of venture capital from investors including Homebrew, Two Sigma Ventures and Susa Ventures. Nelo has additionally raised a $100M asset credit facility from Victory Park Capital. Our lean team includes experienced leaders from top technology companies including Uber, Amazon, Rappi, and DiDi. We pride ourselves on our velocity, intellectual rigor, and efficiency. Nelo has offices in Mexico City and New York City. WHAT YOU'LL WORK ON - The company model. P&L, balance sheet, and cash flow, fully integrated at the product level. You'll own cohort-based revenue and loss projections, loan origination modeling by product, and business unit P&L with clear contribution margin visibility. The model is the tool leadership uses to understand the business. You'll make it sharper. - The origination and growth engine. Statistical forecasting of GMV and loan originations by channel and vintage. LTV modeling and cohort-level breakeven analysis. CAC and payback tied to origination assumptions. Linear regression is the floor. You'll choose the method that fits and document the reasoning so the forecast holds up in a board room. - The scenario layer. Base, upside, downside, plus variants across macro, credit, and growth dimensions. Roughly ten distinct versions available at any given time, each ready on 48-hour turnaround when leadership or a funding partner asks. - Real-time tracking for the inputs that matter: approval rates, activation rates, repayment rates, FPD, unit economics. Daily and weekly refresh. Alerts when actuals diverge from the model. A versioned, auditable assumption library so the answer to "why did this move" is already there. - Month-end close. Actuals versus forecast, variance commentary, delivered clean the first time. This is how you earn the trust to do the rest. - The narrative. Model outputs become prose that non-finance stakeholders can act on. Charts that go straight into the board deck without a rewrite. - AI as part of the craft. Claude and adjacent tools are in the daily workflow here for modeling, analysis, and documentation. You'll bring your own practice and sharpen ours. WHY YOU SHOULD APPLY - You've built models at a bigger fintech, and you're ready to own the whole thing. You want your work to show up in the decisions the company makes, not in a slide someone else presents. - You've built financial models in the last 12 months. You can walk someone through cell-level logic and defend each assumption. - You use Python and SQL as part of how you work. You pull your own data against a real warehouse and write code that does more than copy cells into a notebook. - You've built with methods beyond Excel trend lines. Regression at minimum. Time-series forecasting, cohort curves, Monte Carlo, and sensitivity analysis are choices you've made deliberately and can explain. - Consumer lending unit economics are native to you. LTV, CAC, payback, vintage loss curves, FPD. You don't need these defined. - You care about storytelling as much as modeling. You know which chart type fits which insight. You write variance commentary that lands without edits. - You use Claude, Cursor, or similar AI tools in your actual workflow and can describe what they changed about how you build. WHY YOU SHOULD NOT APPLY - Your most recent hands-on model build was three or more years ago. The recency matters. Modeling is a muscle, and this role uses it every day. - You see the month-end close as a step down from strategic work. - You want to work fully remote. Our preference is in-person in CDMX because the people here are the reason to be here. - You see AI as a side experiment. Every team at Nelo uses AI in the daily workflow. Finance is no exception. INTERVIEW PROCESS - Intro call - Hiring manager screen - Case study - Case debrief - On-site interviews - Final with the CEO - Background & references check - Offer COMPENSATION & BENEFITS - Competitive salary and meaningful equity in a profitable company - Gastos Médicos Mayores (GMM) medical, dental, and vision coverage - Equipment and home office support - Extended parental leave - Unlimited PTO