Financial Crime Detection Engineer (Fraud & AML) in London

Financial Crime Detection Engineer (Fraud & AML) in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Alexander Barnes

At a Glance

  • Tasks: Build and enhance detection systems for fraud and AML in a dynamic environment.
  • Company: Alexander Barnes, a leader in financial crime detection.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a team dedicated to innovation and proactive fraud detection.
  • Why this job: Make a real difference in combating financial crime and protecting communities.
  • Qualifications: Experience in financial crime risk and strong collaboration skills.

The predicted salary is between 50000 - 70000 Β£ per year.

Alexander Barnes is seeking Financial Crime Product Data Scientists & Engineers to enhance their detection systems in fraud and AML. Your role involves building, tuning, and deploying detection logic in critical frameworks. Successful candidates will have experience in financial crime risk and be comfortable collaborating across product, engineering, and compliance teams. This role is essential in evolving detection capabilities to respond to fraud proactively.

Financial Crime Detection Engineer (Fraud & AML) in London employer: Alexander Barnes

As a leading FinTech, our company offers an exceptional work environment that fosters innovation and collaboration. We prioritise employee growth through continuous learning opportunities and a culture that values diverse perspectives, ensuring that every team member can contribute to meaningful projects that shape the future of fraud prevention. Located in a vibrant tech hub, we provide unique advantages such as access to cutting-edge resources and a dynamic network of industry professionals.

Alexander Barnes

Contact Details:

Alexander Barnes Recruitment Team

We think you need these skills to ace Financial Crime Detection Engineer (Fraud & AML) in London

Financial Crime Risk Assessment
Fraud Detection Techniques
AML Compliance Knowledge
Data Science
Detection Logic Development
System Tuning and Deployment
Collaboration Skills