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 DescriptionAs an engineer in AML Risk team, you'll help Wise detect and prevent money laundering, and help in our team mission of Clean Money without Borders.
You'll work closely with our cross-functional team comprising of Product, Data Science and Analytics to fight crime, and respond to evolving trends in Money Laundering.
Our Goals are to:
- Build a global money laundering detection system leveraging Machine Learning, LLM's and Real-time transaction monitoring at scale.
- To identify suspicious money laundering activity as early in a customer lifecycle as possible
What does it take?
- A strong product mindset, you prioritise work with the customers and operational teams in mind and make data-driven decisions
- Great communication skills and the ability to articulate complex, technical concepts to non-technical audience
- You have 2+ years of working with Object Oriented Programming Languages. (JVM based languages are a plus), Event Streaming Platforms and microservices
- Experience working with relational databases, query optimisation and designing schemas
- You enjoy writing testable code
- Experience with CI/CD pipelines
- Hands on knowledge of system integration patterns
- You believe in and follow best coding practices, code reviews and open feedback
- Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus
What does success look like?
- You’ll have onboarded and found your place through understanding your team and tribe vision and how you can contribute
- You’ll understand how our values can help you guide your work
- You'll understand AML landscape in Wise, and how to go about solving some of our largest challenges.
- You'll closely collaborate with product managers, data scientists, data analysts, engineers and other product teams on a daily basis.
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.
Top Skills
What the Team is Saying
What We Do
Wise is a global technology company, building the best way to move and manage the world's money.
With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies.
In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
