Software Engineer AML Risk

About the role:

As an engineer in the AML Risk team youll help Wise detect and prevent money laundering and help in our team mission of Clean Money without Borders. Youll 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:

Heres how youll 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 members 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. Youll maintain our robust rules ecosystem guaranteeing AML checks are completed within seconds.

• Cutting-Edge Technology: Youll 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 Wises 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 LLMs 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:

• Youll have onboarded and found your place through understanding your team and tribe vision and how you can contribute

• Youll understand how our values can help you guide your work

• Youll understand the AML landscape in Wise and how to go about solving some of our largest challenges.

Youll closely collaborate with product managers data scientists data analysts engineers and other product teams on a daily basis.
 

Interested Find out more:

• How we work a practical guide

• DEI @ Wise

• Wise Tech Stack (2025 update)

• See what its like to work at Wise London!

• Our Engineering career map

• Wise Engineering do we offer: 

  • Starting salary: 

  • Wise Benefits

  #LI-AB3 #LI-Hybrid

   

  
  

  Additional Information :

  For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

  Were 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 its like to work at Wise visit .

  Keep up to date with life at Wise by following us on LinkedIn and Instagram.

  
  

  Remote Work :

  No

  
  

  Employment Type :

  Full-time