Transaction Monitoring analytics, AVP

About the Role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Key Responsibilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building data pipelines to automate data movement and processing.
• Applying advanced analytical techniques to large datasets to uncover trends and correlations.
• Developing validated logical data models.
• Translating insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Identifying opportunities for operational and process improvements through data-driven analysis.
• Designing and creating interactive dashboards and visual reports using applicable tools.
• Automating reporting processes for regular and ad-hoc stakeholder needs.

Assistant Vice President Expectations

• Advise and influence decision making.
• Contribute to policy development.
• Take responsibility for operational effectiveness.
• Collaborate closely with other functions/business divisions.
• Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function.
• Set objectives and coach employees.
• Appraise performance relative to objectives and determine reward outcomes.
• Lead collaborative assignments and guide team members through structured assignments (for individual contributors).
• Identify the need for the inclusion of other areas of specialization to complete assignments.
• Identify new directions for assignments and/or projects.
• Identify a combination of cross-functional methodologies or practices to meet required outcomes.
• Consult on complex issues, providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk.
• Develop new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls.
• Perform work that is closely related to that of other areas, requiring an understanding of how areas coordinate and contribute to organizational objectives.
• Collaborate with other areas of work and business-aligned support areas to stay updated on business activity and strategy.
• Engage in complex analysis of data from multiple internal and external sources.
• Solve problems creatively and effectively.
• Communicate complex information.
• Influence or convince stakeholders to achieve outcomes.

Requirements & Tech Stack

• Ability to solve problems logically and/or creatively, demonstrating professional judgment, quality control and adherence to high standards.
• Experience in utilizing analytical tools for data exploration, analysis and visualization.
• Certain coding ability and experience on SQL, Scala / Spark / Python.
• Experience with Databases, structured and unstructured data.
• Some experience in development of data visualizations/dashboards.
• Understanding of Data Management & Model Validation principles and controls.
• Understanding with Machine Learning, LLM and preferably GenAI.

Good To Have Skills

• Appreciation of Financial Crime, AML and Transaction Monitoring/detection and the systems/processes.
• Understanding of AML and terrorist financing trends and typologies.
• Knowledge of the UK and Global Financial Crime regulatory framework.

Qualifications

• Relevant qualifications in data analytics and technical field.
• Strong organizational skills.