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Senior Software Engineer - Trust & Safety, London
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Client:
Wise
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
d0502ac47ad0
Job Views:
4
Posted:
25.06.2025
Expiry Date:
09.08.2025
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Job Description:
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 life 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 .
Job Description
About the role
We are looking for a Senior Back End Engineer with experience in Java and Java related technologies.
The Trust and Safety team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our customers. By leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team of software engineers, data analysts, and data scientists create controls and detection capabilities to protect our customers accounts from unauthorised access and help them avoid falling victim to scams.
How we work
We operate on a strong belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the tribe.
We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence.
What will you be working on?
Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers.
Utilise machine learning techniques to identify potential risks associated with customer activity.
Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists.
Not only meet the requirements set by regulators and auditors but also surpass their expectations.
What do you need?
We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you!
In depth experience using Java or other JVM based language, experience with Spring framework
Experience with CI/CD pipelines and Distributed and Concurrent Systems
A strong product mindset and passion for user experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points
Experience working with relational and non-relational databases, query optimisation and designing schemas
Being able to work independently on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve
Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis.
Great communication skills and the ability to articulate complex, technical concepts to non-technical audience
You enjoy writing testable code and believe in Test Driven Development
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 plus
Interested? Find out more:
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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.
Keep up to date with life at Wise by following us on and.
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