Fincrime Scam-Prevention Software Engineer

Fincrime Scam-Prevention Software Engineer

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Software Careers

At a Glance

  • Tasks: Build and refine software features to prevent scams and protect customers globally.
  • Company: Wise, a global tech company focused on money management and fraud prevention.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovative solutions and career advancement.
  • Why this job: Join a mission-driven team making a real difference in scam prevention.
  • Qualifications: Experience in backend development with React and TypeScript skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Wise is a global technology company focused on moving and managing money with a strong fraud prevention focus.

As a Software Engineer in our Scam Prevention team, you will own end-to-end features to build and refine controls preventing scams and protecting customers worldwide.

You will work on backend systems (80%) and contribute to frontend interfaces (20%) using React and Type Script, collaborating closely with data scientists to deploy ML-enabled solutions within scalable architectures.

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Fincrime Scam-Prevention Software Engineer employer: Software Careers

Elastic is an exceptional employer that fosters a collaborative and inclusive work culture, particularly for the Principal Software Engineer role in London. With a strong emphasis on employee growth and development, the company provides competitive benefits and encourages innovation in enhancing search capabilities. Working remotely with a diverse team allows for meaningful contributions to cutting-edge technology while enjoying a supportive environment.

Software Careers

Contact Details:

Software Careers Recruitment Team

We think you need these skills to ace Fincrime Scam-Prevention Software Engineer

Backend Development
Frontend Development
React
TypeScript
Fraud Prevention
Scam Prevention
Collaboration with Data Scientists