Fraud Risk Data Scientist for Fintech Growth in London

Fraud Risk Data Scientist for Fintech Growth in London

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

At a Glance

  • Tasks: Design and deploy machine learning models to fight fraud and enhance user experience.
  • Company: Join Transak, a leading fintech company in Greater London.
  • Benefits: Enjoy hybrid work, comprehensive health benefits, and wellness support.
  • Other info: Collaborate with diverse teams and grow your career in an innovative setting.
  • Why this job: Make a real impact on product strategy and growth in a dynamic environment.
  • Qualifications: Experience in data science, SQL, Python, and familiarity with BI tools.

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

Transak is hiring a mid-level Data Scientist to join their Data team in Greater London. The role involves designing and deploying machine learning models to combat fraud while ensuring user experience. You will collaborate across teams like Product and Engineering, impacting product strategy and growth.

The ideal candidate should have experience in data science, a solid background in SQL and Python, and familiarity with BI tools.

Transak offers a hybrid work model and comprehensive health and wellness benefits.

Fraud Risk Data Scientist for Fintech Growth in London employer: Transak

Transak is an exceptional employer that fosters a collaborative and innovative work culture, where Data Scientists can thrive in a dynamic fintech environment. With a strong emphasis on employee growth, the company provides ample opportunities for professional development and offers a hybrid work model alongside comprehensive health and wellness benefits, making it an attractive choice for those seeking meaningful and rewarding employment in Greater London.

Transak

Contact Details:

Transak Recruitment Team

We think you need these skills to ace Fraud Risk Data Scientist for Fintech Growth in London

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Automation
Attention to Detail