Product Financial Data Analyst

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

About the role 

As a Finance Analyst at Wise, you will sit at the heart of our mission: money without borders. This role is a unique hybrid, split between the  Product Financials and Accounting Operations.

You aren't just "running reports." You are building the data infrastructure and analytical models that allow our Product Managers and Controllers to sleep at night. You’ll own the "why" behind the numbers, translating complex transactional data into actionable financial insights.

What will you be working on?

1. Cards Product Financials

• Metric Ownership: Deep-dive into KPIs like Gross Margin, Unit Economics, and Transaction Volumes across 160+ countries.

• Stakeholder Partnership: Work closely with Financial Controllers to provide assurance on monthly actuals, ensuring internal management reporting aligns with external obligations and different Product teams to ensure they can make the most of Finance data.

• Modeling: Develop and refine models to understand card-related costs and revenues, identifying efficiency opportunities as we scale.

• Analytics: Build out dashboards and define metrics that reliably answer the most pressing questions from the business. 

2. Support for Accounting Payment Operations

• Financial Integrity: Ensure consistency between vendor reports, bank statements, and our General Ledger (GL). You’ll be the architect of reconciliation between Finance and third-party systems.

• Operational Analytics: Build and maintain analytics for payables, payment cycles, invoice aging, and liquidity management to ensure Wise always has the right money in the right place.

• Optimization: Provide data-driven insights on efficiency and costs to help the Payment Ops team optimize how we move money globally.

• Feedback Loop: Act as a critical partner to PMs and Engineering by identifying and highlighting data quality gaps that impact financial accuracy.

Qualifications

What do you need?

We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you!

• SQL Mastery: You can navigate massive datasets, join complex tables, and write optimized queries for high-volume transactional data.

• Python Proficiency: You use Python for data manipulation (pandas/numpy) and to automate the heavy lifting of financial reconciliations.

• Data Visualization: You create intuitive dashboards (Lightdash/Superset) that allow stakeholders to grasp complex financial drivers or liquidity bottlenecks at a glance.

• Data Pipelines: You have proven ability to build and maintain analytical models and pipelines (e.g., dbt, Airflow, or similar), ensuring they are robust and scalable.

Qualifications & Experience

• Experience: 3-5 years in a highly analytical role (Finance, Data Analytics, or Business Intelligence) at a tech or financial services company.

• Domain Knowledge: Understanding of payment card networks (Visa/Mastercard), accounting and financial data will give you a massive head start.

• Autonomy: You are comfortable working as an Individual Contributor (IC2), taking full ownership of your domain with a proactive, "find a way" mindset. You are also comfortable challenging decisions and are proactively looking for ways to improve the status quo.

• The "Plus": Previous experience in Accounting or Corporate Finance is a significant advantage. Understanding the flow from a customer transaction to a GL entry is key.

Additional Information

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.