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 DescriptionThe team you will join: AML Handling within the AML Squad in the FinCrime Chapter
Why this team exists
Regulatory expectations demand that we review more users, monitor additional typologies, and continuously elevate decision quality each year. Without technical leverage, our AML Investigations unit would keep growing - an expensive route that makes maintaining high quality difficult.
The AML Handling team exists to scale operational growth maintaining high quality. We craft back-office tooling that enables agents to work in a unified space, enhance their daily workflow with Artificial Intelligence, and automatically resolve high-confidence cases. Our mission is to achieve nearly 100% case automation by 2028, while keeping Decision Accuracy above 90%.
What will you be working on?
AML Handling team is looking for an experienced Product Engineer to help us build the tools and systems that enable Wise to investigate and resolve financial crime cases effectively. In AML Handling, we improve how operational teams work, using automation and AI to support better decisions, reduce manual effort, and minimise unnecessary friction for customers.
What will you be doing?
Design and build scalable systems for AML case handling and investigation workflows.
Own substantial technical initiatives end to end, from understanding the problem and shaping the technical approach to delivery and operation in production.
Partner with Product, Operations, Data Scientists, and Data Analysts to identify opportunities, shape product decisions, and measure the impact of your work.
Build automation and bring AI capabilities into production, with attention to quality, evaluation, traceability, and appropriate human oversight.
Improve reliability, security, and technical quality through thoughtful system design, testing, code reviews, and knowledge sharing.
The technology you’ll work with
Our primary technology stack is Java, Spring Boot, and Kafka, with SQL databases. You’ll work with distributed services, asynchronous processing, and data at scale.
We design for scalability, observability, privacy, security, reliability, and cost.
QualificationsWhat are we looking for?
Strong engineering foundations: 5+ years of experience building backend, distributed, or data-intensive systems, with strong Java skills and experience with Spring, relational databases, and asynchronous messaging.
A strong sense of ownership: You take responsibility for outcomes, navigate ambiguity, and are ready to lead technical initiatives from an initial idea through to a reliable production solution.
A full-stack mindset: You think about the complete experience, from backend services and data to the tools people use. You are willing to work across the stack to solve problems end to end.
A product mindset: You seek to understand the needs of operational teams and customers, use data to guide decisions, and connect technical work to measurable improvements.
Sound technical judgement: You design systems for long-term change and scale, balancing delivery needs with maintainability and operational reliability.
Clear communication and collaboration: You explain technical trade-offs to non-technical partners and work effectively across engineering, product, operations, and data disciplines.
Nice to have: Experience deploying machine learning or LLM-based systems in production, evaluating AI quality and cost, or building operational workflow and case management tools.
No prior AML experience required. Our product leads, operational partners, and data scientists will help you build domain knowledge if you bring curiosity and a willingness to learn.
Additional InformationFor 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
- 5+ years of experience building backend, distributed, or data-intensive systems
- Strong Java skills
- Experience with Spring
- Experience with relational databases
- Experience with asynchronous messaging
- Ability to own and lead technical initiatives from idea through reliable production delivery
- Full-stack mindset and willingness to work across the stack
- Product mindset focused on operational and customer needs and measurable outcomes
- Sound technical judgment for scalable, maintainable, and reliable system design
- Clear communication and cross-functional collaboration skills
- Experience deploying machine learning or LLM-based systems in production
- Experience evaluating AI quality and cost
- Experience building operational workflow and case management tools
Wise Compensation & Benefits Highlights
-
Leave & Time Off Breadth — Paid time off is considered generous, with substantial annual PTO, sick leave, and a paid sabbatical after four years highlighted. Feedback suggests these policies meaningfully support rest and flexibility.
-
Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, and options like HSA contributions and a zero-deductible plan in some cases. Feedback suggests the healthcare offering is viewed favorably overall.
-
Equity Value & Accessibility — Equity grants (RSUs or stock options) are broadly available and positioned as a core part of total compensation. Feedback suggests some employees find the equity a meaningful component of their overall package.
Wise Insights
Similar Jobs
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.
Gallery
.jpg)
_0.jpg)
_0.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
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.
