Software Engineer - Fincrime - Scam Prevention

Software Careers; Greater London; On-site; GBP 68,000 - 87,500; Full time

Job summary

Wise is a global technology company focused on moving and managing money with a strong fraud prevention focus. As a Software Engineer in our Scam Prevention team, you will own end-to-end features to build and refine controls preventing scams and protecting customers worldwide.

You will work on backend systems (80%) and contribute to frontend interfaces (20%) using React and TypeScript, collaborating closely with data scientists to deploy ML-enabled solutions within scalable architectures.

Qualifications

• Experience with Java and JVM-based languages.
• Experience building scalable web applications using the Spring framework.
• Proficiency in React, JavaScript and TypeScript.

Responsibilities

• Develop and maintain backend services for fraud prevention and detection.
• Contribute to frontend work (20%) using React/TypeScript.
• Own end-to-end delivery of features from design to production.
• Collaborate with data science to integrate ML models and data pipelines.
• Design robust, scalable, and secure systems to protect Wise customers.

Skills

Java

JVM-based languages

Spring framework

Scalable web applications

React

Javascript

Typescript

CI/CD pipelines

Distributed Systems

Concurrent Systems

Product mindset

Data-driven decisions

Relational databases

Non-relational databases

Query optimisation

Resilient schema design

Test Driven Development

Problem-solving

Communication skills

Machine learning lifecycle

Data pipelines

Feature engineering

Deploying ML systems

Job description

# Software Engineer - Fincrime - Scam Preventionat Wise • Worship St, London, UKBack to jobs1. Home2. Jobs3. UK4. Software Engineer - Fincrime - Scam Prevention—W## Software Engineer - Fincrime - Scam PreventionWise20Software Engineering, Fincrime, Scam PreventionFull-timeGBP 68,000 - GBP 87,500 - yearlyWorship St, London, UKApply Job### Job DescriptionWise 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. Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. 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. 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, and drive Backend and Frontend for our scam prevention and detection systems (80% backend, 20% 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.### Skills Required* Java* JVM-based languages* Spring framework* Scalable web applications* React* Javascript* Typescript* CI/CD pipelines* Distributed Systems* Concurrent Systems* Product mindset* Data-driven decisions* Relational databases* Non-relational databases* Query optimisation* Resilient schema design* Test Driven Development* Problem-solving* Communication skills* Machine learning lifecycle* Data pipelines* Feature engineering* Deploying ML systems