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Experience Level
Mid to Senior
Qualifications
We are looking for candidates with a strong background in data science, particularly in machine learning and statistical analysis. You should possess excellent programming skills in Python or R, experience with big data technologies, and a proven track record in fraud detection or risk management. Strong communication skills and the ability to work collaboratively in a fast-paced environment are essential.
About the job
The Lead Data Scientist for Fraud Prevention at Wise plays a key role in safeguarding the platform against fraudulent activity. Based in London, this position involves guiding a team of data scientists while working directly with large, complex data sets to spot patterns and potential risks.
What you will do
Lead a team focused on detecting and preventing fraud across Wise’s platform
Analyze complex data to uncover suspicious trends and behaviors
Build and improve predictive models that identify fraudulent activity
Introduce and implement new approaches to enhance Wise’s fraud prevention systems
About Wise
Wise is a pioneering financial technology company that simplifies international money transfers, providing customers with transparent fees and real-time exchange rates. Our mission is to make money transfer fair and accessible to everyone, and we are committed to building an inclusive workplace that values diversity and innovation.
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