Senior Full-Stack Software Engineer - Account Integrity - Java, React

Wise

Greater London

On-site

GBP 88,000 - 111,000

Full time

3 days ago
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Job summary

Wise is hiring a Senior Full-Stack Software Engineer for the Account Integrity team in London. You will own end-to-end development of customer-facing controls and robust fraud prevention features using Java and React.

Join a fast-moving, international team focused on preventing financial crime, safeguarding customers, and delivering scalable money-transfer solutions with a strong emphasis on production-grade software, CI/CD, and collaboration with Data Science.

Qualifications

  • Proven experience designing and operating CI/CD pipelines.
  • Strong product mindset and data-driven decisions.
  • Experience with relational and non-relational databases.
  • Test Driven Development and high code quality.
  • Excellent cross-team collaboration.

Responsibilities

  • Build and refine controls to protect customer accounts.
  • Work full-stack with Product, Design, Data Science.
  • Own end-to-end projects from design to delivery.

Skills

Java
React
Full-stack
CI/CD

Tools

SQL
NoSQL
Distributed systems

Job description

Senior Full-Stack Software Engineer - Account Integrity - Java, React
  • Full-time
  • Compensation: GBP 87,500 - GBP 111,000 - yearly

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.

Join us as a Senior Full-Stack 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.

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 prevents account takeovers by building industry-leading controls and detection.
What will you be working on?

This defining role involves continuously improving our financial crime prevention infrastructure systems and building customer-facing controls. 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.

Working in a full-stack capacity - with Product & Design to design convenient, customer-facing controls & working with data scientists and data analysts to improve our detection capabilities

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?

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).

Experience in mentoring and growing more junior Engineers.

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.

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