Strategic Finance Senior Manager

Nelo•New York, NY

1d•Hybrid

About The Position

Nelo is building the credit layer that expands consumer buying power in Mexico, offering credit cards, BNPL loans, bill payments, and its own marketplace. The company has grown to over $80M USD in annual revenue and raised over $140M in equity and debt. Nelo operates in Mexico City and New York City, with the New York team working closely with leadership on critical technical and business problems. The team is lean, technical, and highly driven, with alumni from Uber, Rappi, DiDi, and Amazon, emphasizing speed, data-driven decisions, and quality. The business involves significant complexity across lending, credit, capital, growth, and cross-functional execution, offering a compelling opportunity for a strategic finance professional to engage in deeply analytical, highly visible work directly tied to business decisions. Nelo aims to solve the limited access to consumer credit in Mexico, a massive underserved market, through a mix of credit products, payments, and commerce. The company is in an interesting stage with real traction, a working product, increasing complexity, and a growing importance of the finance function. This role offers the opportunity to help shape how a high-growth business plans, invests, and operates, working closely with leadership to improve decision-making as Nelo scales. The Strategic Finance Senior Manager will own Nelo’s financial modeling engine, serving as the core quantitative role within Strategic Finance. This involves owning the company model, scenario planning, and systems that help leadership understand business direction, performance drivers, and outcomes under different assumptions. The role reports to the VP of Finance (based in Mexico) and is highly cross-functional, requiring partnership with leadership across Finance, Risk, Product, and operations. Approximately 50–60% of the time will be spent on modeling, with the remainder on translating outputs into decision-ready communication, pressure-testing assumptions, and facilitating faster, better decisions. This is not a reporting role but focuses on forecasting future outcomes, their causes, and actionable strategies. The individual should deeply understand the model, its sensitivities, key assumptions, and underlying changes. The role is central to board materials, fundraising support, and company-level decision-making, working closely with the VP of Finance and senior leadership.

Requirements

5+ years of experience in strategic finance, investment banking, private equity, data-heavy finance, or another highly quantitative role in fintech or tech.
Exceptional Excel and financial modeling skills.
Strong Python skills, especially for data manipulation, automation, and finance tooling.
Comfortable writing and debugging SQL for warehouse-based analysis.
Able to build sophisticated models and explain them clearly to non-finance audiences.
Strong operator mindset with high attention to detail.
Comfortable moving quickly without getting sloppy.
Strong business judgment and a sharp feel for what matters in a model versus what is noise.
Strong written and verbal communication skills.
Excellent storytelling instincts: you can turn a complex model into a clear narrative.
Strong visual judgment: you know how to build charts that help people see what matters fast.

Nice To Haves

Experience with cohort-based modeling.
Experience with consumer lending, BNPL, credit cards, or fintech unit economics.
Experience supporting board materials, fundraising, or lender/investor reporting.
Experience in fast-moving startup environments where finance has to be both rigorous and pragmatic.
Comfort using AI actively in your workflow to improve speed and quality.

Responsibilities

Build and own the company’s integrated financial model across P&L, balance sheet, and cash flow.
Model the business at the product level, with clear visibility into revenue, losses, and contribution margin.
Build cohort-based revenue and credit loss projections, including retention curves and loss assumptions.
Run base case and downside/upside scenarios across growth, credit, and macro drivers.
Develop business-unit views that make performance and tradeoffs easier to understand.
Forecast GMV and loan originations by channel, product, and vintage.
Build and refine LTV models and cohort-level breakeven analysis.
Track CAC, payback periods, and unit economics in a way that ties clearly back to origination assumptions.
Identify the operating drivers that matter most and make them visible to leadership.
Refresh and maintain key model inputs on a daily and weekly cadence.
Monitor approval rates, activation rates, repayment behavior, FPD, and other core unit economic drivers.
Build and maintain a clean assumption library that is documented, versioned, and auditable.
Flag gaps between actuals and model expectations early, with clear interpretation of what changed.
Build leadership dashboards for weekly and monthly business review.
Create self-serve scenario tools that allow non-finance leaders to understand tradeoffs without breaking the model.
Develop cohort and LTV visualizations that are useful for management, board, investors, and lenders.
Use Python and AI-assisted workflows to reduce manual work and increase speed and frequency of updates.
Prepare monthly performance decks and variance commentary.
Translate model outputs into simple, direct, decision-ready communication.
Support board materials, fundraising work, and other strategic presentations.
Create charts and visualizations that are clean, precise, and easy to read.
Work directly with the VP of Finance and senior leaders to ensure assumptions are accurate and decisions are grounded in the right financial view.