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Open nowPosted 3 days ago

FP&A Data Analyst

ARQ31 open roles

Where
London
Work mode
Hybrid
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Your applicationOpen nowFP&A Data AnalystARQ · London

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. ARQ postings stay open a median of 42 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 3 days ago

ARQ median: 42 days open

The posting

WHAT WE'RE LOOKING FOR

Do you like knowing exactly why a number moved? As an FP&A Data Analyst 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

- 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

BENEFITS

- 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

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