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 DescriptionThe team you will be joining: Scam Prevention Team
The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations.
What will you be working on?
This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on:
Building and refining critical controls to prevent Wise customers from scams.
Drive Backend and Frontend for our scam prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend
You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product.
What do we need from you?
Engineering Expertise: 6+ years of professional experience with Java, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript.
System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems.
Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.
Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.
Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices.
Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations).
Nice to Have:
Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).
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
- 6+ years of professional experience with Java
- Experience with the Spring framework
- Experience building and designing scalable web applications handling high traffic
- Experience with React-based frontend applications, JavaScript, or TypeScript
- Experience designing and operating CI/CD pipelines
- Experience with distributed and concurrent systems
- Product mindset, accountability, and ability to drive projects independently
- Experience with relational and non-relational databases
- Experience with query optimization and resilient schema design
- Strong problem-solving skills and commitment to test-driven development and coding best practices
- Excellent communication skills for collaborating across Product, Data Science, and Investigations teams
- Familiarity with the machine learning lifecycle, including data pipelines, feature engineering, and production ML deployment
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.
Gallery
.jpg)
_0.jpg)
_0.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
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.
