About the company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.com. PayPal provides 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. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
Job Summary
Your Day-to-Day
đź“ŤLead data science initiatives that improve sanctions screening algorithms and optimize detection sensitivity. đź“ŤDesign and implement data-driven solutions that balance detection precision and false positive reduction. đź“ŤCollaborate with advisory, product, and engineering teams to design frameworks supporting sanctions compliance. đź“ŤTranslate regulatory requirements into actionable analytical frameworks and technical solutions. đź“ŤModernize screening platforms using big data and ML-driven approaches to increase scalability and speed. đź“ŤConduct advanced analytics and identify workflow inefficiencies, recommending actionable improvements. đź“ŤCollaborate with engineering teams to ensure deployment, monitoring, and continuous improvement in production systems.
What You Need to Bring
📍Bachelor’s degree with a minimum of six years of experience in sanctions transaction screening, profile screening, or AML, including at least three years in data analytics or data science. 📍Strong understanding of economic sanctions programs administered by OFAC, EU, UN, CSSF, etc., and associated adjacency risk. 📍Proficiency in SQL, BigQuery, Python, R, Tableau, and Power BI, with strong analytical and problem-solving skills. 📍Working knowledge of Hadoop, Hive, Jupyter Notebooks, and data warehouse technologies. 📍Excellent written and verbal communication skills, with the ability to translate analytical insights into actionable business recommendations.
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