Senior AML Java Engineer - Scale Detection Systems

Wise

Greater London

Presencial

GBP 88 000 - 111 000

Tempo integral

Há 3 dias
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Resumo da oferta

Wise is looking for an experienced AML Engineer to shape how we detect money laundering and terrorist financing risk. You will own large projects and their roadmaps, collaborating with engineers, data scientists, and AML experts to deliver scalable detection controls.

You will mentor engineers, drive reliability and security, and align product decisions with customer impact. The role centers on Java, Spring Boot, and Kafka, operating on distributed services handling data at scale.

Qualificações

  • 5+ years of experience building backend systems, distributed systems, or data-intensive systems.
  • Experience with AML or financial crime is preferred.
  • Experience running machine learning or large language models in production is preferred.
  • You mentor and coach other engineers.
  • You understand your team's technical and business domain.
  • You design systems with long-term change and scale in mind.

Responsabilidades

  • Design and build AML detection controls that can evolve and scale.
  • Own large projects, their technical roadmaps, and their delivery.
  • Shape product decisions and explain the customer problem and expected impact.
  • Improve reliability, security, and technical quality.
  • Mentor engineers and share knowledge across the team.

Conhecimentos

Backend engineering
Distributed systems
Data-intensive
Mentor engineers

Ferramentas

Java
Spring Boot
Kafka

Descrição da oferta de emprego

Wise is looking for an experienced AML Engineer to shape how we detect money laundering and terrorist financing risk. You will own large projects and their roadmaps, collaborating with engineers, data scientists, and AML experts to deliver scalable detection controls.

You will mentor engineers, drive reliability and security, and align product decisions with customer impact. The role centers on Java, Spring Boot, and Kafka, operating on distributed services handling data at scale.

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