Senior Software Engineer II - Account Integrity
At a glance
Senior Software Engineering role at Wise. London · full-time · £111,000–£145,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build and improve controls that stop attackers from taking over customer accounts
- Develop crime prevention and detection systems, spending most of your time on backend work and some on frontend
- Take projects from initial design through delivery to strengthen financial crime prevention systems
- Use automation to improve security while supporting product growth and customer protection
What you bring
- Professional Java or JVM-language experience, including work with Spring
- You have designed and run CI/CD pipelines and distributed, concurrent systems
- You can own projects independently, make decisions using data, and keep customer needs in view
- You have worked with relational and non-relational databases, including query tuning and resilient schema design
- You bring strong coding fundamentals and apply test-driven development and sound practices
Who this fits
This senior engineering role suits someone who takes product-focused projects from start to finish and can work across backend and frontend systems. It is based onsite in London, with the work weighted toward backend development.
From the employer
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.
About the role:
Join us as a Senior Software Engineer in our critical Account Integrity 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 Account Integrity Team
The Account Integrity 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 protect Wise customers accounts from account takeovers.
Drive Backend and Frontend for our crime 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.
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).
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.
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