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 working with: North America Risk
The North America Risk team is a critical engine within Wise, focusing on our largest and most dynamic market: North America.
About the Team
Our mission is to protect our customers and the business by staying ahead of financial crime. We handle billions of volume through robust risk and fraud prevention systems that operate at the speed of our customers.
What we do
Real-Time Decision Making: We leverage cutting-edge machine learning to run risk assessments instantly, every time a customer uses the calculator (create a quote for a transaction), ensuring a seamless yet secure experience
Enabling Unique Features: We own the risk infrastructure for Instant ACH, one of our most unique and high-value features in the US market. Instant ACH provides instant transfers despite the payment network not supporting that
Cross-Functional Collaboration: Software Engineers, Data Analysts, and Data Scientists collaborate on a daily basis to design new rules, refine ML models, and provide critical support to our chargeback and fraud investigation teams
Future-Proofing: While focused on fraud today, we are expanding our scope to handle comprehensive risk types in the US and Canada, including Sanctions and AML (Anti-Money Laundering)
How we work
The team is distributed across Budapest and Austin. We work closely with our US-based colleagues to understand the North American market and customer needs, with occasional travel to the US to foster in-person collaboration.
QualificationsWhat does it take?
4+ years of experience with Java, Kotlin, or other JVM-based languages, with deep knowledge of the Spring framework
Obsession with Latency: You can design technical solutions that optimize for both throughput and speed. You understand what it takes to keep p99 end-to-end latency under 1 second for real-time risk & fraud checks, even when handling billions of transaction volumes
Data & Distributed Systems: Deep understanding of JDBC, database internals, and query optimization. You have hands-on experience with Kafka, Kafka Streams, or Apache Flink to handle real-time event processing
Infrastructure: Experience with CI/CD pipelines and designing scalable, resilient distributed systems
Product & User Focus: You prioritize work with the customer in mind, using data to fix pain points (like false positives). You understand that risk checks happen every time a user touches the calculator, and you care about that UX
Ownership: You take end-to-end ownership of your projects, from the initial idea to monitoring it in production
Communication: You can articulate complex technical concepts to non-technical audiences
Cross-Functional collaboration experience: You are comfortable working daily with Data Scientists to put models into production and with Data Analysts to refine rule sets
It is even better if You have
ML Fluency: Since we deploy models for Instant ACH and transaction monitoring, familiarity with machine learning basics: data pipelines, feature engineering, precision/recall
Data Lake Experience: Experience with OLAP databases or data lakes (like Apache Iceberg) with Kafka ingestion is an advantage
What does success look like?
Impact on Financial Crime: You will understand the specific fraud vectors and how your code directly prevents financial loss while keeping good customers happy
Scaling for the Future: You’ll help raise the automation level of our platform, preparing our systems to handle new risk types in the US and Canada, such as Sanctions screening and AML (Anti-Money Laundering) and other controls
Operational Excellence: You’ll contribute to a culture of "you build it, you run it," ensuring our real-time monitoring systems are robust and reliable for the North American market
Global Collaboration: You’ll find your place by building strong relationships with the wider engineering tribe and our US stakeholders, understanding the "why" behind every feature we build
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.
Top Skills
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.