# Finance Analytics Engineer | FP&A at ARQ

Finance Analytics Engineer | FP&A at ARQ in London. Hybrid, full-time. Posted October 20, 2026.

- Company: ARQ
- Location: London
- Workplace: Hybrid
- Job type: Full-time
- Experience: 3+ years
- Posted: 2026-10-20
- Apply: https://jobs.ashbyhq.com/arq/a913e0d4-919b-4008-b7c4-9f964c496547/application
- Source: https://jobmagic.ai/jobs/finance-analytics-engineer-fpa-arq-pjx58e

## Requirements

- 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.

## Description

**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**

- **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