Senior Software Engineer II - Fraud Squad - Account Integrity (Java)

Wise; Greater London; On-site; GBP 111,000 - 145,000; Full time

Benefits offered by this job

Starting salary: £111,000 - £145,000

Wise Benefits

Job summary

Wise in London is seeking a Software Engineer for the Scam Prevention team to build a scalable fraud prevention engine protecting customers and ensuring regulatory alignment.

You will own end-to-end projects combining backend and frontend work (roughly 80% backend, 20% frontend) and deliver tangible security improvements while accelerating the money transfer product.

Qualifications

• Experience building scalable web applications handling high traffic.
• Strong backend with Java/Spring and frontend with React/TypeScript.
• Proven ability to own projects end-to-end and ship results.

Responsibilities

• Build and refine controls to prevent Wise customers from scams.
• Drive backend and frontend for scam prevention and detection (80% backend / 20% frontend).
• Deliver measurable security impact while accelerating product growth and reliability.

Skills

Java

Spring framework

React frontend

JavaScript/TypeScript

CI/CD pipelines

Distributed systems

Test Driven Development

Tools

SQL

NoSQL databases

Git

CI/CD tooling

Job description

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

About the role:

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.

How we work:

The Scam Prevention Team

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.

What will you be working on?

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.
• Drive Backend and Frontend for our scam prevention and detection systems - You will be working 80% of the time on a backend and 20% on the 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.

What do you need?

• Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript.
• System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems.
• Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.
• Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.
• Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices.
• Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations).

Nice to Have:

• Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).

Interested? Find out more:

• How we work – a practical guide
• DEI @ Wise
• Wise Tech Stack (2025 update)
• See what it's like to work at Wise London!
• Our Engineering career map
• Wise Engineering – https://medium.com/wise-engineering

What do we offer:

• Starting salary: £111,000 - £145,000
• Wise Benefits

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 LinkedInand Instagram.