About the Role

The AML Risk team, within the AML Squad, 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).

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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