PEP Screening and Strategy Lead - Analytics
C
CapitexFinancial Crime Compliance
United KingdomFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- PythonSQLHadoopMicrosoft Power BITableauR
Requirements
- Bachelor’s degree (or equivalent experience) with a minimum of five years of relevant work experience in financial crime, compliance analytics, or data science.
- Minimum five years of experience in sanctions transaction screening, profile screening, PEP and adverse media screening, and AML programs.
- At least three years in data analytics or data science.
- Strong understanding of global sanctions and PEP programs (OFAC, EU, UN, CSSF).
- Advanced proficiency in SQL (Google Cloud BigQuery), Python (Pandas, NumPy, PySpark), R, Tableau, and Power BI.
- Demonstrated expertise in data structure analysis, profiling, and query optimization.
- Familiarity with Lexis Nexis World Compliance+ and other leading screening data sources.
- Working knowledge of Hadoop, Hive, Jupyter Notebooks, and modern data warehouse technologies.
- Exceptional communication skills to translate analytical findings into business recommendations.
- Proven success in developing data-driven solutions for complex compliance challenges.
- High intellectual curiosity and strategic problem-solving ability.
- Strong project leadership, analytical, and organizational skills.
Responsibilities
- Strengthen and harmonize global PEP screening capabilities.
- Design strategic frameworks and long-term roadmaps for screening initiatives.
- Oversee the full lifecycle of PEP screening solutions from design to implementation.
- Translate evolving regulatory requirements into data-driven technical solutions.
- Work with engineering teams to operationalize regulatory changes and deploy system enhancements.
- Refine PEP list definitions, classifications, and thresholds.
- Conduct data exploration and statistical analysis to improve screening workflows.
- Analyze large datasets to extract insights and support business and compliance decisions.
- Provide technical guidance and strategic direction to junior data scientists.
- Ensure seamless integration and real-time deployment of analytical solutions.
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