Software Engineer - AML Risk
Primary stack
Nice to have's
Job description
About the Position
We are looking for a Software Engineer - AML Risk to join our team at Wise. In this role, you will contribute to building systems and controls that detect money laundering and terrorist financing risks across Wise’s products and regions.
Responsibilities
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.
Requirements
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).
We Offer
- Starting salary: €4250 - €5750 gross/monthly + Wise's Restricted Stock Units (RSUs).
- Benefits at Wise and our offices.
About the Company
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 Location
This is a full-time position.
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.
Additional Information
Interested? Find out more:
- How we work – a practical guide
- DEI @ Wise
- Wise Tech Stack (2025 update)
- Our Engineering career map
- Wise Engineering
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
© Wise Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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