PEP Screening and Strategy Lead

Job Summary

We are seeking aPEP Data Scientistto pivot and alignglobal Politically Exposed Person (PEP) screening strategieswith regional nuances. This role will designdata-driven solutionsthat harmonize policies across jurisdictions, balancing local regulatory requirements with global compliance standards.

The successful candidate will translate complex datasets intoactionable, scalable strategiesthat optimize PEP detection and minimize false positives. This position requires extensivecross-functional collaborationacross 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 withFirst 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 regionalMLROsto establish clearBusiness 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.
• Providetechnical mentorshipandbusiness guidanceto 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.

Requirements

Minimum Qualifications

• Minimum of5 yearsof relevant professional experience and aBachelor’s degree(or equivalent experience).

Preferred Qualifications

• Bachelor’s degree with a minimum offive years’ experiencein sanctions transaction screening, PEP and negative news screening, or AML, including at leastthree years in data analytics or data science.
• In-depth understanding ofPEP screening and sanctions programsadministered by regulators such asOFAC, EU, UN, CSSF, and related adjacency risks.
• Proficiency inSQL (Google Cloud BigQuery),Python (Pandas, Numpy, PySpark),R,Tableau, andPower BI.
• Strong data manipulation, profiling, and analysis skills; familiarity withLexis Nexis WorldCompliance+data source.
• Experience withHadoop,Hive,Jupyter Notebooks, anddata warehouse environmentshighly desirable.
• Excellentwritten and verbal communicationskills, capable of translating analytical insights into actionable business recommendations.
• Proven ability to design and implementdata-driven compliance solutionsfor 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 afast-paced, global environment.
• Skilled in presenting complex quantitative analyses clearly to non-technical stakeholders.