Finance Analytics Engineer | FP&A

What we're looking for

Do you like knowing exactly why a number moved? As an Finance Analytics Engineer at ARQ, you'll own the data foundations behind our revenue, cost and management reporting. You'll sit between Finance and Engineering: building the models that tell us how the business is performing, keeping them accurate every day, and turning them into insight that leadership uses to make decisions.

This is a hands-on role for someone who is as comfortable in a dbt project or a Python codebase as in a P&L. You'll work closely with Finance, Treasury and Engineering, and your work will feed management, investor and regulatory reporting directly.

What you'll be doing

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Own the finance data layer: Maintain and extend our dbt repo. That means building and refactoring models, writing tests, and keeping finance data clean, documented and reliable.

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Revenue and cost models: Build and maintain the models behind revenue, unit economics and operations costs (payment rails, FX, card, banking partners, vendors) across our markets.

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Management accounts: Support daily and monthly management accounts on both accrual and cash basis. Reconcile them to source systems and explain movements.

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Budgeting and forecasting: Feed actuals into the budget and forecast, run variance analysis, and help Finance understand what is driving performance.

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Python services: Help maintain and improve the internal Python services and pipelines that support finance reporting and reconciliation.

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Data mapping and requirements: Map data sources across our product and payments stack, and document business logic and assumptions so others can trust and reuse your work.

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Onboard new business: When we launch a new product, partner or market, make sure it flows correctly into financial reporting, controls and processes.

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Dashboards and reporting: Build and improve dashboards with Finance and Controllership that track key metrics and surface business drivers.

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Anomalies and controls: Spot breaks, unusual spikes or data quality issues early, find the root cause, and fix it at the source.

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Data literacy: Help the wider team understand and self-serve finance data.

What you'll need

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3+ years in a data, analytics or FP&A role, ideally in fintech, banking or payments

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Strong SQL and solid Python

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Hands-on experience with dbt (or a similar transformation tool) and version control (Git)

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A good grasp of financial statements, management accounts and core finance concepts (accruals, revenue recognition, unit economics)

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A quantitative background, through education or experience

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Strong attention to detail and a quality-first mindset, while still able to work to tight deadlines

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Clear communication: you can explain a variance to a CFO and a data model to an engineer

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Initiative to automate repetitive work and improve how things are done

Nice to have

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Experience with regulatory or external reporting

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Exposure to reconciliations, treasury or general ledger data

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Experience with BI tools (Metabase, Looker, Power BI) and orchestration tools (Airflow or similar)

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Experience maintaining production code: code review, testing, CI/CD

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Spanish or Portuguese proficiency

Benefits

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Competitive salary and benefits

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Stock options, so you own part of what you build

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Discretionary performance bonus

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The latest tools and technology

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A world-class team that will challenge and grow your skills

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The opportunity to help build the best fintech app in Latin America

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Office Policy: 3-4 days a week in-office

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