Job Description

‍

As an engineer in AML Risk team, you'll help Wise detect and prevent money laundering, and help in our team mission of Clean Money without Borders.

You'll work closely with our cross-functional team comprising of Product, Data Science and Analytics to fight crime, and respond to evolving trends in Money Laundering.

‍

Our Goals are to:

Build a global money laundering detection system leveraging Machine Learning, LLM's and Real-time transaction monitoring at scale.
To identify suspicious money laundering activity as early in a customer lifecycle as possible

‍

Qualifications

‍

What does it take?

A strong product mindset, you prioritise work with the customers and operational teams in mind and make data-driven decisions
Great communication skills and the ability to articulate complex, technical concepts to non-technical audience
You have 2+ years of working with Object Oriented Programming Languages. (JVM based languages are a plus), Event Streaming Platforms and microservices
Experience working with relational databases, query optimisation and designing schemas
You enjoy writing testable code
Experience with CI/CD pipelines
Hands on knowledge of system integration patterns
You believe in and follow best coding practices, code reviews and open feedback
Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus

About the company

Wise

Company overview

Wise is a global fintech that helps people and businesses send, spend, and receive money across borders with transparent fees and multi-currency balances. Wise sells the Wise Account for consumers, Wise Business for companies, and infrastructure products through Wise Platform for banks and enterprises that want cross-border payments and local account capabilities. Wise operates as a regulated financial services provider in multiple markets and focuses on making international money movement faster and cheaper. Wise’s public messaging centres on “money without borders” and reducing hidden FX markups.

Locations and presence

Wise runs major hubs across the UK and Europe alongside offices in places like Austin and Singapore, with Tallinn frequently positioned as a key engineering centre. Wise sets a hybrid expectation tied to Wise offices, with limited permanent virtual working and an onboarding pattern that pushes new joiners to spend more time in-office early on.

Palpable Score

77.3

/ 100

Wise offers multiple true entry points through paid internships, graduate cohorts, and apprenticeships, and Wise backs that up with structured early-career learning like the WiseStart Engineering Bootcamp and a 9-month Engineering Academy. Wise also publishes a candidate-facing interview process and uses documented practices aimed at consistent evaluation, while many job ads include salary figures and equity language. The score is capped by uneven public signals on progression and onboarding consistency, plus the absence of published early-career outcomes like promotion timelines or cohort retention.

view full company profile >

Software Engineer - AML Handling

Wise

About the company

Wise

Company overview

Locations and presence

Palpable Score

Related jobs