About

• Job Summary
• We are seeking a PEP Data Scientist to pivot and align global Politically Exposed Person (PEP) screening strategies with regional nuances. This role will design data-driven solutions that harmonize policies across jurisdictions, balancing local regulatory requirements with global compliance standards.
• The successful candidate will translate complex datasets into actionable, scalable strategies that optimize PEP detection and minimize false positives. This position requires extensive cross-functional collaboration across engineering, advisory, and regulatory teams to ensure alignment with business objectives and global compliance expectations.
• Key Responsibilities
• Drive comprehensive initiatives to strengthen PEP screening capabilities across all regions, ensuring detection and risk mitigation objectives align with regulatory expectations while maintaining seamless customer experiences.
• Collaborate with First Line of Defense, product management, engineering, and business units to develop strategic frameworks and roadmaps for global PEP screening initiatives.
• Oversee the complete development lifecycle of PEP screening solutions—from concept through implementation—ensuring scalability, performance, and compliance alignment.
• Analyze and interpret emerging regulatory requirements, working closely with regional MLROs to establish clear Business Requirement Documents (BRDs) and translate guidance into actionable, data-driven solutions.
• Partner with engineering teams to implement regulatory changes and system enhancements across production environments.
• Work with advisory and regional policy teams to refine PEP list definitions and classification criteria, ensuring comprehensive risk coverage.
• Conduct advanced data exploration and statistical analysis to identify inefficiencies in screening workflows, providing actionable recommendations for process improvements.
• Analyze large-scale datasets to extract meaningful insights, develop recommendations, and present findings that drive business decisions.
• Provide technical mentorship and business guidance to junior data scientists, fostering team capability and development.
• Collaborate with engineering teams to ensure real-time integration and deployment of analytical solutions, maintaining reliability and performance standards.
• Minimum Qualifications
• Minimum of 5 years of relevant professional experience and a Bachelor’s degree (or equivalent experience).
• Preferred Qualifications
• Bachelor’s degree with a minimum of five years’ experience in sanctions transaction screening, PEP and negative news screening, or AML, including at least three years in data analytics or data science.
• In-depth understanding of PEP screening and sanctions programs administered by regulators such as OFAC, EU, UN, CSSF, and related adjacency risks.
• Proficiency in SQL (Google Cloud BigQuery), Python (Pandas, Numpy, PySpark), R, Tableau, and Power BI.
• Strong data manipulation, profiling, and analysis skills; familiarity with Lexis Nexis WorldCompliance+ data source.
• Experience with Hadoop, Hive, Jupyter Notebooks, and data warehouse environments highly desirable.
• Excellent written and verbal communication skills, capable of translating analytical insights into actionable business recommendations.
• Proven ability to design and implement data-driven compliance solutions for complex global operations.
• Strong intellectual curiosity, strategic thinking, and comfort navigating ambiguity.
• Advanced research, analytical, and project leadership skills with solid business acumen.
• Ability to manage multiple priorities in a fast-paced, global environment.
• Skilled in presenting complex quantitative analyses clearly to non-technical stakeholders.