Mid-Level, Senior
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.
We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to join our Global Fraud Squad. In this role, you’ll help Wise scale safely and efficiently by uncovering gaps in our fraud controls and strengthening our intelligence through analytics. You’ll work closely with cross-functional teams to turn insights into action, improving how we detect, prevent, and respond to fraud.
Here's how you'll contribute to the team:
Proactive detection & insights sharing
Drive KPI Performance
Analytical leadership in new market launches
This role will give you the opportunity to:
Choose your path to impact – pick high-leverage problems, create the vision and own execution.
Grow as a Product & Fraud Analyst – develop deep fraud domain expertise and combine it with your analytical skills.
Work cross-functionally – partner with PMs, engineers, analysts, investigators, compliance and operations across markets.
Be highly visible – your analysis will regularly inform Product and Risk Committees and shape strategic decisions.
Deliver measurable change – your work will protect millions of customers while enabling Wise’s growth.
You've minimum 4 years experience in product analytics in a complex, data-driven environment.
Hustler-mentality. You can take work beyond the analysis and get things done.
Strong communicator – you translate complex analyses into clear recommendations and influence senior stakeholders.
Strong analytical mind and product intuition focused on payments, transaction flows and online behaviour.
Proven ability to dig into data, surface anomalies, communicate findings frequently, and drive actions across teams.
Technical skills: advanced SQL, Python (pandas/scikit or similar), and experience building dashboards in BI tools (Looker/Tableau/PowerBI).
Good to have
FinTech/payments and Fraud experience.
Experience with feature engineering and model monitoring.
Familiarity with Airflow/DBT/Git/Snowflake and production data platforms.
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.
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