Senior Software Engineer I - Account Integrity

Sorry, this job was removed at 10:51 a.m. (UTC) on Wednesday, Oct 07, 2026
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London, England, GBR
Hybrid
88K-111K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Build and operate scalable backend and frontend systems that prevent account takeovers, scams, and financial crime. The role focuses primarily on backend engineering, with some React-based frontend development, and includes designing distributed systems, CI/CD pipelines, resilient database schemas, and automated detection controls. Engineers own projects end to end, make data-driven product decisions, collaborate across product, data science, and investigations teams, and may contribute to machine learning systems in production.
Summary Generated by Built In
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 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. 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: £87,500 - 111,000 + RSUs

  • Wise Benefits

#LI-AB3 #LI-Hybrid

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 LinkedIn and Instagram.

Skills Required

  • Professional experience with Java or other JVM-based languages
  • Experience with the Spring framework
  • Experience building and designing scalable web applications handling large amounts of traffic
  • Experience with React-based frontend applications
  • Experience with JavaScript or TypeScript
  • Experience designing and operating CI/CD pipelines
  • Experience with distributed and concurrent systems
  • Experience with relational and non-relational databases
  • Experience with query optimization and resilient schema design
  • Strong software engineering fundamentals and problem-solving skills
  • Commitment to Test Driven Development and best coding practices
  • Excellent communication skills for explaining complex technical concepts across teams
  • Strong product mindset, accountability, and ability to drive projects independently
  • Familiarity with the machine learning lifecycle, including data pipelines, feature engineering, and production ML deployment

What the Team is Saying

Wise Compensation & Benefits Highlights

  • Leave & Time Off Breadth — U.S. materials describe extensive paid leave (PTO, sick time, holidays, “Me Days,” volunteer and compassionate leave) plus a paid six‑week sabbatical after four years. Feedback suggests the time‑off package is a standout element of the offering.
  • Parental & Family Support — Benefits information highlights up to 18 weeks of fully paid parental leave in many locations, with clear tenure qualifiers in some markets. Feedback suggests these policies are robust and a notable strength.
  • Equity Value & Accessibility — Company and job-posting materials indicate RSUs are a regular part of compensation, with a shift toward RSUs since 2022. Feedback suggests the equity component is a relatively substantial part of total rewards.

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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