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 DescriptionTeam 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.
Interested? Find out more:
How we work - a practical guide
DEI @ Wise
Wise Tech Stack (2025 update)
See what it’s like to work at Wise London
Our engineering career map
Wise Engineering – https://medium.com/wise-engineering
What do we offer:
Starting salary: £87,000 - £111,000 + RSU
Wise Benefits
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.
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.
Skills Required
- Hands-on experience with distributed systems, microservices architecture and backend services.
- Proven ability to deliver high-performance, low-latency systems.
- Proficiency in Java or similar backend programming languages.
- Familiarity with messaging systems like Kafka or RabbitMQ and knowledge of relational databases (SQL).
- Excellent communication and collaboration skills.
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global minimum of 33 paid days off (36 in U.S. hubs) plus a 6‑week paid sabbatical every four years and extras like volunteer or “Me” days indicate substantial time‑off depth.
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Parental & Family Support — A global minimum of 18 weeks fully paid parental leave for birth or adoption after one year, along with adoption and fertility support, underscores robust family support.
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Flexible Benefits — Work‑from‑anywhere up to 90 days per year after six months and flexible working principles provide notable geographic mobility and scheduling latitude.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
