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“ŤDesign and implement advanced data science models to strengthen PEP and sanctions screening capabilities. đź“ŤTranslate emerging regulatory requirements into actionable, data-driven solutions that can be scaled globally. đź“ŤPartner with Product, Engineering, Advisory, and MLRO teams to build frameworks that align with evolving compliance standards. đź“ŤRefine PEP list definitions to ensure comprehensive coverage and regulatory alignment. đź“ŤConduct large-scale data exploration to identify optimization opportunities, improve detection quality, and reduce false positives. đź“ŤLead technical mentorship, ensuring best practices in model validation, explainability, and governance. đź“ŤCollaborate cross-functionally to ensure real-time integration of analytical solutions into production systems.
What You Need to Bring
📍5+ years’ experience in data science, quantitative modeling, or advanced analytics within AML, sanctions, or financial crime domains. 📍Deep understanding of global sanctions programs (OFAC, EU, UN, CSSF) and PEP screening requirements. 📍Strong technical skills: SQL (BigQuery), Python (Pandas, NumPy, PySpark), R, Tableau, Power BI. 📍Experience working with Lexis Nexis Sanctions and PEP data structures and sourcing. 📍Experience with Hadoop, Hive, or Jupyter notebooks; cloud or data warehouse skills a plus. 📍Excellent communication and collaboration skills; able to translate technical insights into clear business recommendations.
The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.
