Job Description:
We are seeking a seasoned Fraud Data Science Manager to lead our dynamic team in developing and executing innovative fraud prevention strategies. The ideal candidate will have a strong background in data science, machine learning, and advanced analytics, with expertise in tackling complex fraud challenges.
The selected individual will be responsible for guiding a team of data scientists in creating cutting-edge detection models and algorithms to stay ahead of evolving fraud threats. They will also own a business domain, leading data-driven risk management strategies to support our global business objectives.
The key responsibilities include:
* Leading a team of data scientists to develop and execute fraud prevention strategies
* Owning a business domain and leading data-driven risk management strategies
* Tracking and evaluating the performance of fraud detection systems against key KPIs and business goals
This is an exciting opportunity for a talented professional to join our team and contribute to shaping our fraud prevention capabilities.
Required Skills and Qualifications:
To be successful in this role, you will need:
* A bachelor's degree in Mathematics, Statistics, Operations Research, Engineering, Economics, or a related quantitative field (or equivalent)
* 8+ years of relevant experience; or a Master's degree with 6+ years of professional experience in a related field
* Experience working in the fraud domain, with a demonstrated ability to take personal ownership of complex challenges
* Industry experience in payments, e-commerce, or financial services is preferred
Benefits:
We offer a comprehensive benefits package that includes:
* A flexible work environment
* Employee stock options
* Health and life insurance
Others:
PayPal is committed to building an inclusive and diverse workplace culture. We strive to create an environment where everyone can thrive and do their best work.