PEP Screening and Strategy Lead - Analytics

4 months, 1 week ago
Full-time
Lead
Data Science and Analytics

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

Description

  • Lead initiatives to strengthen and harmonize global PEP screening capabilities across regions.
  • Partner with advisory, product, engineering, and business teams to define strategic frameworks and long-term roadmaps for screening programs.
  • Oversee the full lifecycle of PEP screening solutions from concept through implementation.
  • Analyze evolving regulatory requirements and translate them into business requirement documents and technical solutions.
  • Collaborate with regional MLROs and engineering teams to operationalize regulatory changes and deploy system enhancements.
  • Refine PEP list definitions, classifications, and thresholds in partnership with advisory and policy teams.
  • Perform advanced data exploration and statistical analysis to identify inefficiencies and opportunities to improve screening workflows.
  • Analyze large-scale datasets to generate insights and recommendations that support business and compliance decisions.
  • Provide technical guidance, coaching, and strategic direction to junior data scientists.
  • Ensure analytical solutions are integrated into production environments with reliability, scalability, and performance.
  • Maintain accuracy and integrity of screening systems while supporting real-time deployment of analytical solutions.

Requirements

  • Bachelor’s degree or equivalent experience.
  • Minimum of 5 years of relevant work experience in financial crime, compliance analytics, or data science.
  • Minimum of 5 years of experience in sanctions transaction screening, profile screening, PEP and adverse media screening, and AML programs.
  • At least 3 years of experience in data analytics or data science.
  • Strong understanding of global sanctions and PEP programs administered by OFAC, EU, UN, CSSF, and related regulators.
  • Advanced proficiency in SQL, including Google Cloud BigQuery.
  • Advanced proficiency in Python, including Pandas, NumPy, and PySpark.
  • Experience with R, Tableau, and Power BI.
  • Demonstrated expertise in data structure analysis, profiling, and query optimization.
  • Familiarity with Lexis Nexis World Compliance+ and other screening data sources.
  • Working knowledge of Hadoop, Hive, Jupyter Notebooks, and modern data warehouse technologies.
  • Exceptional communication skills and ability to present complex quantitative analyses to diverse stakeholders.
  • Proven success developing data-driven solutions for complex compliance challenges in cross-functional environments.
  • Strong project leadership, analytical, and organizational skills with the ability to manage multiple priorities independently.
  • High intellectual curiosity, strategic problem-solving ability, and comfort working in ambiguity.
  • Results-oriented mindset with a passion for innovation, data integrity, and global compliance initiatives.

Interested in this position?

Apply directly on the company website

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