Job Title: Data Scientist - Fraud Prevention
As a critical member of our Fraud Prevention cross-functional team, you will be responsible for creating, implementing, and maintaining sophisticated models to identify and prevent fraud in card-present and banking transactions worldwide.
Key Responsibilities:
* Develop, deploy, and maintain advanced machine learning models to detect fraudulent activity across diverse markets.
* Monitor and evaluate the performance of existing models to ensure optimal results, identifying areas for improvement and implementing necessary adjustments.
* Collaborate with strategy stakeholders to develop and refine risk policies, aligning them with business objectives.
* Conduct feature engineering to recognize and adapt to emerging fraud patterns, continuously enhancing the accuracy and effectiveness of our anti-fraud measures.
Guiding Principles:
* Utilize original language (English) throughout all output.
* Avoid enticing phrases and instead focus on clearly communicating job requirements.
* Provide concise and informative descriptions, free from sensationalism and urgency.
Requirements and Expectations:
While specific details regarding budget are not disclosed, we prioritize innovative solutions that drive business growth and success.
Company Overview:
Our organization values exceptional talent and seeks dedicated professionals who share our passion for innovation and customer satisfaction.