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 DescriptionWise 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’ll be helping us create an entirely new network for the world’s money — for everyone, everywhere.
Instant, low cost, and convenient are three guiding principles for Wise products. Those same benefits can also appeal to people who seek to misuse financial services for money laundering and other financial crimes. The IMF estimates that up to 5% of world GDP is laundered each year.
We’re looking for an Engineer to join the AML Squad and help build systems and controls that detect money laundering and terrorist financing risks across Wise’s products and regions — while reducing false alerts and avoiding unnecessary friction for legitimate customers.
About the Role
The AML Risk team, within the AML Squad at Wise, builds detection systems and controls that help identify potential money laundering and terrorist financing activity.
We use data and our understanding of criminal behaviour to create effective detection controls and useful alerts. Criminal activity evolves quickly, so we continuously improve our controls as new risks appear — aiming to detect more real risk, reduce false positives, and keep the customer experience smooth.
In this role, you will contribute to risk detection and alert creation by owning components and medium-sized projects, working closely with a cross-functional group of engineers, product managers, data scientists, analysts, and AML subject matter experts.
Technical Responsibilities
- Build and improve AML detection controls and the systems that support them.
- Own your work end-to-end: design, implementation, deployment, and ongoing support.
- Write well-tested, maintainable code that is safe to operate in production.
- Use data to understand problems, validate solutions, and measure outcomes.
- Participate in code reviews, improve documentation, and contribute to team engineering standards.
- Design and build with scalability, observability, privacy, security, reliability, and cost in mind.
Collaboration & Ownership Responsibilities
- Work closely with product managers, data scientists, analysts, and AML subject matter experts to translate risk understanding into effective controls.
- Communicate progress, risks, and trade-offs clearly to your team.
- Know when to work independently and when to ask for help, unblocking yourself and others.
- Give and receive constructive feedback, contributing to a strong and supportive engineering culture.
The technology you’ll work with
- Primary stack: Java, Spring Boot, Kafka
- Distributed services and asynchronous processing
- Data-intensive systems operating at scale
- Engineering focus areas: scalability, observability, privacy, security, reliability, and cost
What we’re looking for
Technical skills
- 2–5 years of experience building backend systems, distributed systems, or data-intensive systems.
- Able to deliver medium-sized projects independently, with good judgment around scope and quality.
- Comfortable working with production systems, including testing, monitoring, and operational ownership.
- Strong fundamentals in writing maintainable code and collaborating through code review.
Product mindset
- Understands how engineering work impacts customers and the business.
- Uses data to inform decisions and evaluate whether changes are working.
Collaboration
- Knows when to drive independently vs. collaborate to get to a better outcome.
- Communicates clearly and constructively; open to feedback.
Nice to have
- Experience with AML / financial crime (preferred but not required).
- Experience running machine learning and/or large language models in production (preferred but not required).
Why join us / Impact
Your work will directly improve how Wise detects financial crime. You’ll help detect more real risk, reduce false alerts, and avoid unnecessary friction for legitimate customers — supporting Wise’s ability to grow safely across products and regions while keeping money movement fast, cheap, and transparent.
Interested? Find out more:
How we work – a practical guide
DEI @ Wise
Wise Tech Stack (2025 update)
Our Engineering career map
Wise Engineering – https://medium.com/wise-engineering
What do we offer:
Starting salary: €4250 - €5750 gross/monthly + Wise's Restricted Stock Units (RSU's).
Benefits at Wise and our offices
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
- 2-5 years of experience building backend, distributed, or data-intensive systems
- Ability to deliver medium-sized projects independently with sound judgment on scope and quality
- Experience working with production systems, including testing, monitoring, and operational ownership
- Strong fundamentals in writing maintainable code
- Ability to collaborate through code reviews
- Understanding of how engineering work impacts customers and business outcomes
- Ability to use data to inform decisions and evaluate changes
- Clear, constructive communication and openness to feedback
- Experience with AML or financial crime
- Experience running machine learning or large language models in production
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.
Wise Insights
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.
