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Wise · Tallinn, Estonia

# Software Engineer - AML Risk

Tallinn, Estonia Full-time Software Engineering 

Listed on Wise’s official careers site. Posted October 6, 2026. Check that it is still open and apply there.
[Apply on Wise’s careers site →](https://jobs.smartrecruiters.com/Wise/744000153669609-software-engineer-aml-risk)

[OpenNash Jobs](https://jobs.opennash.com/) / [Wise](https://jobs.opennash.com/companies/wise/) / Software Engineer - AML Risk

## Job 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’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

## Qualifications

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).

## At a glance
- Posted by the employer: Oct 6, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 12 days
- Location: Tallinn, Estonia
- Employment type: Full-time[Apply on Wise’s careers site →](https://jobs.smartrecruiters.com/Wise/744000153669609-software-engineer-aml-risk)

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