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
Team you will be working with: Receive Risk
The Receive Risk team is part of Acquiring Squad, in the Global Product tribe, dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers.
Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices, e-commerce, and more — we work closely with our financial crime teams to strike the perfect balance: seamless experiences for legitimate users, strong barriers against bad actors.
What will you be working on?
We're looking for a Backend Engineer to build a fraud engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently.
What do you need?
Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic.
Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability.
Strong product-oriented mindset, with end-to-enpd ownership of features and close collaboration across teams.
Proficiency in Java (preferred) or solid experience with similar backend programming languages.
Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL).
Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value.
Nice to Have:
Understanding of basic machine learning concepts and experience building data pipelines.
Mentorship experience, helping team members grow and contributing to a culture of continuous learning.
Additional Information
Interested? Find out more:
What do we offer:
#LI-AB3 #LI-Hybrid
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.
