About the AML Risk team
Instant, low cost, and convenient are three guiding principles for the products Wise offers its customers. These same benefits can also appeal to people who seek to misuse financial services for money laundering and other financial crimes.
IMF estimates that up to 5% of World GDP is laundered each year.
The AML Risk team, within the AML Squad at Wise, builds systems and controls that detect money laundering and terrorist financing risks. Our work covers Wise’s products and regions.
We use data and our knowledge of criminal activity to create effective detection controls and useful alerts. Criminal activity changes quickly. We improve our controls as new risks appear. We aim to detect more real risk, reduce false alerts, and avoid unnecessary friction for legitimate customers.
What will you be working on?
AML Squad is looking for an experienced Engineer to help shape how Wise detects money laundering and terrorist financing risk.
You will own large, impactful projects and their technical roadmaps. You will work with engineers, product managers, data scientists, analysts, and AML subject matter experts.
What will you be doing?
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Design and build AML detection controls that can evolve and scale.
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Own large projects, their technical roadmaps, and their delivery.
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Shape product decisions and explain the customer problem and expected impact.
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Improve reliability, security, and technical quality.
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Mentor engineers and share knowledge across the team.
The technology you’ll work with
Our primary technology stack is Java, Spring Boot, and Kafka. You’ll work with distributed services, asynchronous processing and data at scale.
We design for scalability, observability, privacy, security, reliability, and cost.
What are we looking for?
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You are an expert in your technical discipline.
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You understand your team’s technical and business domain.
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You design systems with long-term change and scale in mind.
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You mentor and coach other engineers.
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You have 5+ years of experience building backend systems, distributed systems, or data-intensive systems.
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Experience with AML or financial crime is preferred, but not required.
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Experience running machine learning or large language models in production is preferred, but not required.
Impact
Your work will improve how Wise detects financial crime. You will help detect more real risk, reduce false alerts, and avoid unnecessary friction for legitimate customers.
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 .
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 .
Wise
Fintech · Public · London, United Kingdom