Data Scientist Sanctions Analytics
- אזור המרכז
- משרה קבועה
- משרה מלאה
- Perform comprehensive data analysis on potential matches across various regulatory sanctions lists and PayPal databases to ensure accuracy and efficiency in the sanctions screening system. Collaborate on the development, tuning, and optimization of sanctions transaction and profile screening by leveraging large alert and customer datasets and statistical analysis to derive business rules and Good Guys, aimed at reducing false positives.
- Continuously seek optimization and tuning opportunities across diverse screening configurations and algorithms, with an eye for proposing new screening rules and algorithms to enhance screening quality and efficiency.
- Foster collaborative partnerships across Sanctions Operations, Product, Engineering, Policy, and Internal Audit to address sanctions screening escalation, regulatory lists, scanning approaches, and feature enablement.
- Regularly review and validate screening processes to ensure data integrity and regulatory compliance.
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- Bachelor's degree with a minimum of three years of experience in sanctions transaction Screening, profile screening, and AML, including at least one years in data analytics or data science.
- Good understanding of economic sanctions programs administered by regulators such as OFAC, EU, UN, CSSF, etc.
- Familiar with SQL, BigQuery, Python, R, Tableau, and Power BI, with great analytical and problem-solving skills.
- Good written and verbal communication skills, with the ability to effectively translate data insights into actionable business recommendations.
- Strong intellectual curiosity, strategic thinking, and a passion for solving problems, with comfort navigating ambiguity.
- Capable of managing multiple projects in a fast-paced, dynamic environment with independence and initiative.
- High energy and a results-oriented mindset, with a passion for understanding and serving PayPal's unique community.
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