Data Scientist - Transaction Monitoring System Specialist

Responsibilities:

• Analyze Transaction Monitoring (TM) rules and alerts to identify areas for enhancement.
• Interpret data and translate statistical insights into actionable decisions to optimize rule effectiveness and efficiency.
• Lead the development, maintenance, and definition of tuning and back-testing policies, standards, and processes for TM tuning and back-testing.
• Help oversee automated TM implementation activities, including data sourcing from multiple systems and managing testing and tuning efforts to support the Program Management Office (PMO) activities.
• Conduct regular audits on Transaction Monitoring Rule Settings, collaborating with stakeholders to rectify any gaps or errors identified.
• Act as an advisory liaison to the Financial Crime team, MLRO, Risk, Audit, and Operational partners regarding the application of Transaction Monitoring systems and solutions.
• Collaborate with PMO, Technology, Legal, Risk, Audit, and other business divisions to ensure stakeholder engagement throughout the Transaction Monitoring project’s lifecycle.
• Develop governance documentation outlining change rationale for comprehension and approval from senior leadership and committees.

Essential Competencies:

• In-depth understanding and knowledge of the TM landscape, its rules, and latest best practices.
• Strong analytical skills, particularly in Transaction Monitoring Alert Handling.
• Ability to interpret data sets and statistical outputs, converting them into clear decision-making documentation.
• Excellent communication skills, capable of confidently sharing ideas and propositions with senior stakeholders.
• Proven writing skills for updating procedures, documentation, change request documents, and audit findings.
• Practical ability to balance the efficiency and effectiveness of the TM rule set.
• Continual commitment to staying updated with market developments.

Requirements:

• Bachelor's Degree (or above) required, preferably in Data Governance, Data Science, Computer Science, Mathematics, Quantitative Finance, Business, Law, Economics, or Public Policy.
• Minimum of 2 years of relevant work experience, preferably in the Compliance domain.
• ACAMS/ACSS certification is an added advantage.
• Demonstrable competency in data analysis, with advanced Excel skills preferred.