PEP Screening and Strategy Lead
C
CapitexCompliance
United KingdomFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- PythonSQLHadoopMicrosoft Power BINumpyTableauPandasRPySpark
Requirements
- Minimum 5 years of relevant professional experience and a Bachelor’s degree (or equivalent experience).
- 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.
- 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.
Responsibilities
- Drive initiatives to strengthen PEP screening capabilities across all regions.
- Collaborate with First Line of Defense, product management, engineering, and business units to develop strategic frameworks.
- Oversee the complete development lifecycle of PEP screening solutions.
- Analyze and interpret emerging regulatory requirements and translate guidance into actionable, data-driven solutions.
- Partner with engineering teams to implement regulatory changes and system enhancements.
- Refine PEP list definitions and classification criteria.
- Conduct advanced data exploration and statistical analysis to identify inefficiencies.
- Analyze large-scale datasets to extract meaningful insights and develop recommendations.
- Provide technical mentorship and business guidance to junior data scientists.
- Collaborate with engineering teams to ensure real-time integration and deployment of analytical solutions.
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