Wise jobs, judged for you, free

What they do

Wise builds a way to move and manage money across borders, with low fees and high speed. People and businesses use it to send money abroad, spend abroad, and receive international payments. One posting says it has over 15 million customers who move $15 billion every month. The board also names Wise Platform, cards, and investments.

What they value

• Min fees, max ease, full speed.
• For everyone, everywhere.
• Money without borders, without judgement or prejudice.
• Diverse, equitable, and inclusive teams.
• Curiosity and integrity.
• Sustainable ways of working.

Where they hire

Almost half the roles are in London. Others are in Tallinn, Austin, Hyderabad, Singapore, São Paulo, and Budapest. India has 29 roles, all in Hyderabad. Most roles are based in an office, and none on the board are marked remote. Some postings ask for the legal right to work in that country.

Teams and roles

Engineering, product, and financial crime roles lead the board.

• Engineering: backend, full-stack, and data engineers, and engineering leads, in London, Tallinn, Budapest, and Hyderabad.
• Product and analytics: product managers, product analysts, and data scientists in pricing and causal inference.
• Financial crime and compliance: AML investigations, KYC operations, and product compliance and risk managers.
• Payment operations: processing specialists, risk and controls, and strategy and automation.
• Expansion and partnerships: country managers, bank partnerships, and business development.
• Finance and audit: controllers, external reporting, and internal audit.
• Customer support and sales: support specialists and account managers.

What they look for

Postings say it is uncommon for a candidate to have every skill listed, and they welcome people who are eager to learn. A data engineering role asks for Python, dbt, Airflow, and data pipelines that scale. Leadership roles in financial crime ask for many years in AML, KYC, or risk operations. Strong communication and ownership of ambiguous problems come up in many postings. Some roles want comfort with AI and automation.