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: Feature Platform
Wise moves billions every year for millions of people and businesses across many different countries and currencies; while bad actors constantly evolve: scams, impersonation, account takeover, money laundering, mule networks, and other forms of abuse emerge. At this scale, in order to stay ahead of evolving threats, our automated controls and machine learning models require high-quality, real-time insights. Success lies in a centralized approach that provides the necessary governance, speed, and data consistency to power these critical systems.
Wise’s centralized feature engineering platform for financial crime detection is the Feature Platform. Its goal is that every fraud signal, AML indicator, and risk feature flows through a single governed platform instead of each team maintaining siloed calculations. It owns the feature lifecycle tracks from finding, experimenting, and building data points to using them in millions of transactions daily.
QualificationsHow can you contribute?
Engineering. Tackle complex technical challenges focused on scalability, reliability, and speed, maintaining a high-performance infrastructure that processes millions of events with low latency.
Innovation. Collaborate with Data Scientists and Engineers to design and implement cutting-edge feature topologies, including graphs, support vectors, and time-series data to stay ahead of evolving financial threats.
Engagement. Drive platform adoption by partnering with teams across Wise to centralize existing risk logic and expand our self-service capabilities, ensuring that all risk signals are robust, governed, and consistent.
What does it take?
3+ years of Java 11+ knowledge, fluent in Java 21+
Familiarity with Python (or willingness to learn on the job)
Experience with batch or stream processing (preferably Apache Spark and Flink/Kafka streams)
Familiarity with SQL and no-SQL (document) databases
Experience with complex systems distributed across several microservices, Kafka, scattered data and ownership
Hands-on knowledge of system integration patterns
A strong product mindset and passion for user experience, you prioritise work with the customers in mind and drive 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
High level of ownership, including identifying impactful problems to solve, getting buy-in from stakeholders and implementing the solution end-to-end
Nice to have:
Data Engineering background, such as experience with large-scale data pipelines, feature engineering and serving infrastructure, familiarity with graph algorithms and/or embedding techniques, awareness of data governance practices
Experience with Apache Iceberg and/or Trino
Experience with graph databases like Amazon Neptune
What does success look like?
You'll be having a real world impact by building financial crime prevention systems which protect customers
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
- 3+ years of Java (Java 11+, fluent in Java 21+)
- Familiarity with Python (or willingness to learn)
- Experience with batch or stream processing (preferably Apache Spark and Flink/Kafka Streams)
- Familiarity with SQL and NoSQL (document) databases
- Experience with complex distributed systems across microservices and Kafka
- Hands-on knowledge of system integration patterns
- Strong product mindset and user experience focus
- Strong problem-solving skills and ability to work from first principles
- High level of ownership, stakeholder management, and end-to-end implementation
- Data engineering background, large-scale data pipelines, feature engineering, graph algorithms or embeddings, data governance awareness
- Experience with Apache Iceberg and/or Trino
- Experience with graph databases like Amazon Neptune
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global paid time off is presented as 33–36 days including local public holidays, plus three “Me Days,” with a paid six‑week sabbatical and stipend after four years. Work-from-anywhere for up to 90 days per year after six months further complements time away and flexibility.
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Equity Value & Accessibility — RSUs are granted to all employees, enabling broad ownership in the company. Equity is positioned as a standard, company‑wide component of total rewards.
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Parental & Family Support — Parental leave is described as generous across markets, with U.S. pages listing up to 18 weeks fully paid for birthing parents and 8 weeks for non‑birthing parents. Additional family‑oriented supports such as onsite Mother’s Rooms and abortion travel benefits are noted in certain locations.
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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.
