PEP Screening and Strategy Lead - Analytics
# PEP Screening and Strategy Lead - Analytics **Capitex** · United Kingdom · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Financial-Crime-Analytics]` `[Compliance-Analytics]` `[PEP-Screening]` `[AML-Analytics]` `[Risk-Management]` `[Analytics-and-Strategy]` --- ### About the Role PEP Screening and Strategy Lead Role Overview We are seeking a seasoned PEP Data Scientist and Strategy Lead to define and align global PEP screening strategies with regional and regulatory nuances. This role will design data-driven, scalable solutions that unify PEP policies across jurisdictions—balancing global standards with local compliance expectations. The ideal candidate will bridge data science, compliance, and strategic execution , transforming complex data into actionable intelligence that enhances detection accuracy and reduces false positives. This position is highly cross-functional, requiring close collaboration with engineering, product, advisory, and regulatory teams to ensure consistent alignment with business goals and global compliance frameworks. Key Responsibilities - Strengthen Global PEP Screening: Lead initiatives to advance and harmonize PEP screening capabilities across all regions, aligning risk detection and mitigation objectives with regulatory standards while maintaining a frictionless customer experience. - Strategic Frameworks & Roadmaps: Partner with First Line of Defense advisory, product management, engineering, and business units to design strategic frameworks and long-term roadmaps for global screening initiatives. - Solution Design & Implementation: Oversee the full lifecycle of PEP screening solutions—from conceptual design to implementation—ensuring scalability, performance, and compliance with business and regulatory objectives. - Regulatory Translation & Delivery: Analyze evolving regulatory requirements and collaborate with regional MLROs to develop business requirement documents (BRDs), transforming guidance into precise, data-driven technical solutions. - Cross-Functional Execution: Work hand-in-hand with engineering teams to operationalize regulatory changes, deploy system enhancements, and ensure accuracy and integrity in production environments. - List Management & Risk Definition: Collaborate with advisory and policy teams to continuously refine PEP list definitions, classifications, and thresholds to ensure comprehensive coverage and regulatory alignment. - Advanced Analytics & Optimization: Conduct in-depth data exploration and statistical analysis to identify inefficiencies within screening workflows, proposing actionable improvements to enhance precision and efficiency. - Insight & Decision Support: Analyze complex, large-scale datasets to extract meaningful insights, develop recommendations, and communicate findings that support key business and compliance decisions. - Mentorship & Development: Provide technical guidance, coaching, and strategic direction to junior data scientists, fostering skill development and analytical excellence within the team. - Production Integration: Ensure seamless integration and real-time deployment of analytical solutions in partnership with engineering, maintaining system reliability and robust performance standards. Minimum Qualifications - Bachelor’s degree (or equivalent experience) with a minimum of five years of relevant work experience in financial crime, compliance analytics, or data science. Preferred Qualifications - Minimum five years of experience in sanctions transaction screening, profile screening, PEP and adverse media screening, and AML programs, including at least three years in data analytics or data science . - Strong understanding of global sanctions and PEP programs administered by OFAC, EU, UN, CSSF, and related regulators, including associated risk typologies. - 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, with the ability to translate analytical findings into clear, actionable business recommendations . - Proven success in developing data-driven solutions for complex compliance challenges and collaborating effectively across multi-disciplinary teams. - High intellectual curiosity, strategic problem-solving ability, and comfort navigating ambiguity in dynamic, fast-paced environments. - Strong project leadership, analytical, and organizational skills with the ability to manage multiple priorities independently. - Adept at presenting complex quantitative analyses to diverse stakeholders in a concise, accessible manner. - Results-oriented, proactive mindset with a passion for innovation, data integrity, and advancing global compliance initiatives. Originally posted on Himalayas
- Financial-Crime-Analytics
- Compliance-Analytics
- PEP-Screening
- AML-Analytics
- Risk-Management
- Analytics-and-Strategy
Наблюдалась 2026-10-03, впервые 2026-10-02, источник — Himalayas (JSON API).