Software Engineer, AML Risk

Wise

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: London, United Kingdom
Posted: 179 days ago
Freshness: Confirmed live yesterday
Nearby: 70 roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $178k

$133k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $142,437–$212,625.

Based on 240 similar postings.

Employer

About Wise

Wise (formerly TransferWise) is a global technology company specializing in international money transfers and multi-currency accounts, offering transparent low-cost foreign exchange for individuals and businesses. Industry: Financial Technology & International Payments

Wise currently has 26 open roles on FindRole.

Most-posted roles

View all roles at Wise

At a glance

TL;DR · Software Engineer, AML Risk

Role Posting Log in to save

As a Software Engineer - AML Risk, you will join the AML Risk engineering team to detect and prevent money laundering while responding to evolving trends in financial crime. Working within an agile environment alongside cross-functional teams of product managers, data scientists, and analysts, you will design and implement rules and features to maximize crime detection with minimal customer impact. You will build a global money laundering detection system that utilizes Machine Learning, LLMs, and real-time transaction monitoring at scale to identify suspicious activity early in the customer lifecycle. The role requires proficiency in Object Oriented Programming languages, specifically JVM based languages, as well as experience with event streaming platforms, microservices, relational databases, query optimization, schema design, CI/CD pipelines, and system integration patterns. You must possess a strong product mindset and ability to communicate complex technical concepts clearly.

What does a Software Engineer earn?

Median $197500 from 2196 postings across 133 companies.

See salary data

Skills

Machine Learning LLMs Microservices Event Streaming Platforms Relational Databases CI/CD Object Oriented Programming JVM System Integration Testable Code Agile

What you'll do

Design and implement rules and features to maximize crime detection while minimizing customer impact.
Maintain a robust rules ecosystem to ensure AML checks are completed within seconds.
Build a global money laundering detection system using Machine Learning, LLMs, and real-time transaction monitoring.
Identify suspicious money laundering activity as early in the customer lifecycle as possible.
Develop and maintain microservices using Object Oriented Programming languages and event streaming platforms.
Manage relational databases including query optimization and schema design.
Write testable code while following best coding practices and participating in code reviews.
Communicate complex technical concepts to non-technical audiences across cross-functional teams.

What we're looking for

You must have a strong product mindset to make data-driven decisions for customers and operational teams.
You must possess great communication skills to explain complex technical concepts to non-technical audiences.
You must have experience with Object Oriented Programming languages, specifically JVM-based languages.
You must have experience with event streaming platforms and microservices.
You must have experience with relational databases, query optimization, and schema design.
You must have hands-on knowledge of system integration patterns.
You must have experience with CI/CD pipelines.
You must be committed to writing testable code and following best coding practices and peer reviews.

Save