Wise Logo

Wise

Backend Engineer - NorthAm

Reposted 11 Days Ago
Be an Early Applicant
Hybrid
Budapest
Mid level
Hybrid
Budapest
Mid level
Build and maintain low-latency, real-time risk and fraud systems for North America using JVM technologies and streaming platforms. Collaborate with data scientists and analysts to deploy ML models, optimize queries, ensure resilience and scalability, own projects end-to-end, and improve user-facing risk decisions.
The summary above was generated by AI
Company Description

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 Description

The 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.

 

What 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.

Additional Information

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.

Similar Jobs at Wise

11 Days Ago
Hybrid
Mid level
Mid level
Fintech • Mobile • Payments • Software • Financial Services
Build and operate real-time risk and fraud prevention systems for North America. Design low-latency JVM/Spring services, optimize DB queries, process events with Kafka/Flink, collaborate with Data Scientists and Analysts, and own features from design through production monitoring to protect customers and scale risk infrastructure.
Top Skills: Apache FlinkApache IcebergCi/CdJavaJdbcKafkaKafka StreamsKotlinSpring
Yesterday
Hybrid
Mid level
Mid level
Fintech • Mobile • Payments • Software • Financial Services
The Enterprise Support Specialist for Wise Platform drives operational efficiency by supporting partners from implementation to ongoing optimization and feedback gathering.
Top Skills: LightdashLookerMs SuiteSnowflakeSupersetZendesk
Yesterday
Hybrid
Mid level
Mid level
Fintech • Mobile • Payments • Software • Financial Services
As a Backend Engineer, you will build and maintain scalable backend systems, work on significant development tasks, and collaborate with teams to enhance the Wise platform while ensuring code quality and stability.
Top Skills: Ci/CdDistributed SystemsJavaMicroservicesNoSQLRest ApisSpring FrameworkSQL

What you need to know about the Edinburgh Tech Scene

From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account