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 an engineer in the 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 of Product, Data Science and Analytics to fight crime, and respond to evolving trends in Money Laundering.
How we work:
Here’s how you’ll contribute and grow with us in the AML Risk Engineering team:
Agile and Collaborative Environment: We work in 2-week sprints, planning projects quarterly or half-yearly. We value every team member's input, and you are encouraged to propose projects and contribute to setting our priorities.
Impact-Driven Engineering: Your daily work will involve designing and implementing rules and features to maximise crime detection while ensuring the least possible impact on our customers. You'll maintain our robust rules ecosystem, guaranteeing AML checks are completed within seconds.
Cutting-Edge Technology: You'll be integral to building a global money laundering detection system that leverages Machine Learning, LLMs, and real-time transaction monitoring at scale, aiming to identify suspicious activity early in the customer lifecycle.
Ensuring Global Confidence: Your efforts will directly help ensure that regulators across the world are confident in Wise's commitment to fighting financial crime, supporting our mission of Clean Money without Borders.
What will you be working on?
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 do you need?:
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 been 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
Nice to Have:
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 the 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.
Interested? Find out more:
What do we offer:
#LI-AB3 #LI-Hybrid
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.
