Finance Analytics Engineer | FP&A in London

What we're looking for

Do you like knowing exactly why a number moved?

Full-time Stack

Must-haves

What you'll be doing:

• 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.
• 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.
• Management accounts: Support daily and monthly management accounts on both accrual and cash basis. Reconcile them to source systems and explain movements.
• Budgeting and forecasting: Feed actuals into the budget and forecast, run variance analysis, and help Finance understand what is driving performance.
• Python services: Help maintain and improve the internal Python services and pipelines that support finance reporting and reconciliation.
• 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.
• Onboard new business: When we launch a new product, partner or market, make sure it flows correctly into financial reporting, controls and processes.
• Dashboards and reporting: Build and improve dashboards with Finance and Controllership that track key metrics and surface business drivers.
• Anomalies and controls: Spot breaks, unusual spikes or data quality issues early, find the root cause, and fix it at the source.
• Data literacy: Help the wider team understand and self-serve finance data.

What you'll need:

• 3+ years in a data, analytics or FP&A role, ideally in fintech, banking or payments.
• Strong SQL and solid Python.
• Hands-on experience with dbt (or a similar transformation tool) and version control (Git).
• A good grasp of financial statements, management accounts and core finance concepts (accruals, revenue recognition, unit economics).
• A quantitative background, through education or experience.
• Strong attention to detail and a quality-first mindset, while still able to work to tight deadlines.
• Clear communication: you can explain a variance to a CFO and a data model to an engineer.
• Initiative to automate repetitive work and improve how things are done.

Nice to have:

• Experience with regulatory or external reporting.
• Exposure to reconciliations, treasury or general ledger data.
• Experience with BI tools (Metabase, Looker, Power BI) and orchestration tools (Airflow or similar).
• Experience maintaining production code: code review, testing, CI/CD.
• Spanish or Portuguese proficiency.

Competitive salary and benefits:

• Stock options, so you own part of what you build.
• Discretionary performance bonus.
• The latest tools and technology.
• A world-class team that will challenge and grow your skills.
• The opportunity to help build the best fintech app in Latin America.
• Office Policy: 3-4 days a week in-office.