Senior Software Engineer II - FinCrime - Scam Prevention Team

Wise; Greater London; On-site; GBP 87,500 - 111,000; Full time

Benefits offered by this job

Wise benefits

Job summary

Wise London is seeking a Software Engineer for our Scam Prevention team. This high-impact engineering role focuses on building scalable controls and detection systems to protect our global customer base and fight financial crime.

You will work on backend and frontend development (approximately 80% backend, 20% frontend) using Java/Spring and React, with a product-driven, data-informed approach to deliver real-world impact and support growth.

Qualifications

• Professional experience with Java or JVM languages (Spring) and building scalable web apps.
• Experience with React-based frontend applications; JavaScript/TypeScript desirable.
• Experience designing and operating CI/CD pipelines and distributed systems.
• Strong product mindset and data-driven decision making.

Responsibilities

• Build and refine controls to prevent scams for Wise customers.
• Drive backend and frontend development for scam prevention and detection systems – 80% backend / 20% frontend.
• Deliver tangible impact by securing customers’ money and enabling product growth through automation.

Skills

Java

Spring

React

TypeScript

System design

Testing/TDD

Data modeling

Product mindset

Team collaboration

Tools

CI/CD pipelines

Databases (SQL/NoSQL)

Web scalability

Job description

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money. 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.

Min Fees. Max Ease. Full Speed.

We’re here to simplify and save for everyone, everywhere.

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 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?

• Building and refining critical controls to prevent Wise customers from scams.
• Driving backend and frontend development for our scam prevention and detection systems – approximately 80 % backend and 20 % frontend.
• Delivering a tangible, real‑world impact by securing customers’ money, accelerating product growth through automation, 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, and an ability to build and design scalable web applications that handle large amounts of traffic. Experience using React‑based frontend applications, JavaScript/TypeScript is desirable.
• 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 with data‑driven decisions that keep 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: £87,500 – £111,000
• Wise benefits: (details omitted)

Additional Information

We believe teams are strongest when they are diverse, equitable, and inclusive. We celebrate our differences and strive to make every Wiser feel respected, empowered, and able to progress in their careers.