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PEP Screening and Strategy Lead

5 months, 1 week ago
United Kingdom
Contract
Senior
Data Scientist
Data Science and Analytics
Apache Spark Hadoop Hive Machine Learning NumPy Pandas Power BI Python R SQL Tableau
Apply Now

Capitex

Capitex is a staffing, recruiting, training, and solutions provider focused exclusively on financial crime compliance. It offers contract and interim staffing, executive search, rapid response teams, compliance and advisory services, and training support across AML, KYC/CDD/EDD, sanctions, fraud, and transaction monitoring for regulated financial institutions.

Staffing and Recruiting
11-50
Founded 2021
View All Jobs 6

Description

  • Drive initiatives to strengthen PEP screening capabilities across all regions and support detection and risk mitigation objectives.
  • Collaborate with First Line of Defense, product management, engineering, business units, advisory teams, and regional policy teams on global PEP screening strategy and roadmaps.
  • Oversee the end-to-end development lifecycle of PEP screening solutions from concept through implementation.
  • Analyze emerging regulatory requirements and work with regional MLROs to create Business Requirement Documents and actionable solutions.
  • Partner with engineering teams to implement regulatory changes and system enhancements in production environments.
  • Refine PEP list definitions and classification criteria to improve risk coverage and screening accuracy.
  • Conduct advanced data exploration and statistical analysis to identify workflow inefficiencies and recommend process improvements.
  • Analyze large-scale datasets, extract insights, and present findings that inform business decisions.
  • Provide technical mentorship and business guidance to junior data scientists.
  • Support real-time integration and deployment of analytical solutions while maintaining reliability and performance standards.

Requirements

  • Minimum of 5 years of relevant professional experience and a bachelor’s degree, or equivalent experience.
  • Bachelor’s degree with at least 5 years of experience in sanctions transaction screening, PEP and negative news screening, or AML.
  • At least 3 years of experience in data analytics or data science.
  • In-depth understanding of PEP screening and sanctions programs administered by OFAC, EU, UN, CSSF, and related adjacency risks.
  • Proficiency in SQL, including Google Cloud BigQuery.
  • Proficiency in Python, including Pandas, NumPy, and PySpark.
  • Experience with 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 is highly desirable.
  • Excellent written and verbal communication skills, including the ability to translate 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.
  • Skill in presenting complex quantitative analyses clearly to non-technical stakeholders.

Interested in this position?

Apply directly on the company website

Apply Now

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