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: Risk Assessment Platform
The team's mission is to provide a reliable, efficient, and centralized platform for all data points used in risk assessments. We own the feature lifecycle tracks from finding, experimenting, and building data points to using them throughout risk control and handling use cases. We allow risk teams to build better performing controls by continuously improving labels, discovering new fincrime typologies or adopting new technologies. Our focus is on creating the necessary tools and procedures that support these activities.
Our main vision points are:
We provide high-quality, reliable data
We serve predictive features that capture unwanted (crime related) behavior
We maintain effective models that help us scale and adapt to change
Comprehensive controls that prevent threats and satisfy regulators.
As a Backend Engineer, your job will be to provide technical assistance and guidance to Wise's data engineering and machine learning community, taking ownership of difficult technical problems.
In order to succeed, you’ll need to be able to participate in the vision for data engineering through documents and conversations, get buy-in from stakeholders and leadership, communicate well in different levels of complexity and create and review pull requests.
What does it take?
5+ years of Java 11+ knowledge (and willingness to quickly learn python)
Experience with batch OR stream processing (preferably Apache Spark and Flink/Kafka streams)
Experience with complex systems distributed across several microservices, kafka, scattered data and ownership
Willingness to contribute in UI-related projects
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
Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data and from first principles
Ability to drive complex technical decisions and get buy-in from stakeholders, take ownership of difficult decisions, pushing back against bad ideas
Hands on knowledge of system integration patterns
What does success look like?
You’ll have onboarded and found your place through understanding your team and tribe vision and how you can contribute
You’ll understand how our values can help you guide your work
You’ll understand the reasons behind problematic payments and customer difficulties and how to go about solving them
Understand our customers and the impact our product makes in their lives
You’ll help us scale-up and build a world class money transfer product by finding solutions to our technical challenges and opportunities
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
- 5+ years of Java 11+ knowledge
- Willingness to quickly learn Python
- Experience with batch or stream processing (preferably Apache Spark and Apache Flink/Kafka Streams)
- Experience with complex distributed systems across microservices and Kafka
- Willingness to contribute to UI-related projects
- Strong product mindset and focus on user experience
- Strong problem-solving skills to refine problem statements and solve from first principles
- Ability to drive complex technical decisions and secure stakeholder buy-in
- Hands-on knowledge of system integration patterns
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.
