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.

About the role:

At Wise, we move money for millions of people around the world — and we take that responsibility seriously. Our AML (Anti-Money Laundering) Handling team builds the internal tooling and investigative systems that help Wise detect, investigate, and report financial crime, keeping our platform safe for every customer who relies on us.

We're looking for a Software Engineer with strong front-end engineering skills to help us build and improve the tooling our AML investigation agents use every day. From the interfaces agents use to review suspicious activity, to the GenAI-powered features that augment their investigations, your work will directly contribute to making Wise a safer place for everyone.

What You'll Work On:

You'll be embedded in our AML Handling product engineering team, working across the full stack of our back-office investigative systems that AML investigation agents rely on globally to identify and act on financial crime.

Specifically, you can expect to:

• Build and improve investigative workflows end-to-end — Owning features from back-end data services through to the front-end interfaces agents use, with the goal of meaningfully reducing case handling time and improving decision quality.

• Integrate GenAI capabilities into agent tooling — We're actively embedding LLM-powered features directly into our investigative flows. You'll help build the pipelines, APIs, and interfaces that make these features reliable and trustworthy.

• Drive UX improvements across our investigative suite — Identifying and eliminating repetitive, redundant agent actions; improving how different systems integrate with each other; and pre-filling data intelligently by connecting front-end experiences to existing back-end data sources.

• Build and maintain back-end services — Contributing to the services that power case management, agent queues, automation logic, and data flows — ensuring they are reliable, observable, and scalable as our operations grow.

• Contribute to access control and security improvements — Helping ensure agents only see the customer data relevant to their active case assignment, closing a high-priority security vulnerability that protects both our customers and the integrity of our investigations.

• Instrument and analyse agent behaviour — Building front-end analytics and back-end data models that allow us to identify bottlenecks, measure the impact of our work, and prioritise improvements with confidence.

• Contribute to platform campaigns and tech health — Participating in company-wide engineering initiatives such as framework upgrades, service migrations, and on-call vendor transitions, keeping our systems reliable and secure.

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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