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We are seeking a forward-thinking fraud data science professional to lead our global fraud prevention team in developing and implementing innovative fraud detection solutions. The ideal candidate will have a strong background in data science and machine learning, with experience working in the fraud domain.

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  • The successful candidate will lead a team of data scientists in developing and executing fraud prevention strategies through advanced detection models and algorithms.
  • They will own a business domain and lead data-driven risk management strategies to support our global business objectives.
  • The candidate will track and evaluate the performance of fraud detection systems against key KPIs and business goals, ensuring alignment with broader organizational priorities.
  • They will tackle complex, ambiguous business problems on fraud domain, driving the planning and execution of long-term projects from start to finish.
Required Skills and Qualifications">

To be successful in this role, you will need to have:

  • A Bachelor's degree in Mathematics, Statistics, Operations Research, Engineering, Economics, or a related quantitative field (or equivalent), with 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.
  • A quick thinker with a fast learning ability, broad general knowledge, and a strong aptitude for problem-solving.
  • Exceptional communication and soft skills, with the ability to present complex ideas clearly to executive leadership.

We offer a comprehensive benefits package including health and life insurance, employee shares options, flexible work environment, and more. To learn more about our benefits please visit our website.

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We value diversity and inclusion in the workplace and are committed to creating an equitable and inclusive environment for all employees. We provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.