Job Description

• Partner with multiple stakeholders including product, engineering, and business units to design strategic frameworks for sanctions compliance initiatives.
• Interpret new regulatory requirements and collaborate with regional offices to finalize business requirements, and translate them into actionable data-driven solutions, then work with engineer team to implement these changes effectively.
• Work with sanctions advisory and policy teams to refine PEP and sanctions list definitions, ensuring accurate coverage and risk alignment.
• Lead the end-to-end development and implementation of sanctions screening solutions, ensuring scalability and alignment with business and regulatory goals.
• Provide business guidance and technical support to junior data scientists on the team.
• Collaborate with engineering teams to ensure seamless deployment and real-time implementation in production environments.
• Lead projects to modernize sanctions platforms, incorporating big data solutions to improve performance and scalability.
• Perform advanced data exploration and analysis to identify inefficiencies in sanctions screening and workflow and recommend actionable improvements.
• Analyze large, complex datasets and business requirements to draw meaningful conclusions, make informed recommendations, and present findings to support business decisions.

Qualifications

• Bachelors degree with a minimum of five years of experience in sanctions transaction Screening, profile screening, and AML, including at least three years in data analytics or data science.
• Thorough understanding of economic sanctions programs administered by regulators such as OFAC, EU, UN, CSSF, etc.
• Proficiency in SQL, BigQuery, Python, R, Tableau, and Power BI, with strong analytical and problem-solving skills.

• Experience with and advanced understanding of SQL queries, data structure and data profiling
• Working knowledge of Hadoop, Hive, Jupyter Notebooks; data warehouse skills is highly desirable
• Excellent written and verbal communication skills, with the ability to effectively translate data insights into actionable business recommendations.
• Demonstrated ability to develop data-driven solutions for complex business challenges, fostering trust and collaboration across cross-functional teams.
• Strong intellectual curiosity, strategic thinking, and a passion for solving problems, with comfort navigating ambiguity.
• Advanced research, analytical, and project leadership skills, with a strong business acumen and multitasking ability.
• Capable of managing multiple projects in a fast-paced, dynamic environment with independence and initiative.
• Skilled in presenting complex quantitative analyses to business stakeholders in a clear, accessible manner.