At a Glance
- Tasks: Build a fraud engine to enhance product features while managing risk effectively.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Collaborative environment focused on mentorship and continuous learning.
- Why this job: Join us in creating secure financial solutions that impact users worldwide.
- Qualifications: Experience in backend programming, especially Java, and knowledge of fraud prevention.
The predicted salary is between 50000 - 60000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. As part of our team, you will be helping us create an entirely new network for the world's money.
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.
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.
- Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability.
- 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).
- 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.
We're people building money without borders — without judgement or prejudice, too. 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.
