• Strong financial crime data and risk management expertise, including the development and monitoring of Key Risk Indicators (KRIs), risk appetite metrics, risk tolerances, management information (MI), and data-driven oversight across AML, sanctions, fraud, anti-bribery and corruption, and customer due diligence frameworks.
• Proven experience in financial crime data analytics, reporting and data governance, including conducting data quality and integrity testing, investigating data issues, analysing trends and risk indicators, performing client and transaction data reviews, and producing insightful management reporting for senior stakeholders and governance committees.
• Strong technical and process improvement capabilities, with experience working alongside technology and data teams to develop, test, document and implement automated solutions, maintain financial crime data infrastructure, enhance controls, and improve the accuracy, efficiency and scalability of financial crime monitoring and reporting processes.
• Excellent stakeholder management, communication and influencing skills, with the ability to collaborate effectively across first and second lines of defence, challenge and resolve data quality issues, communicate KRI frameworks and risk tolerance expectations, identify training needs, and foster a strong risk and compliance culture across multiple business units and functions.
• Strong technical capability and process improvement expertise, with experience partnering with technology and data teams to develop, test, document and implement automated solutions, maintain financial crime data infrastructure, strengthen controls, and enhance the accuracy, efficiency and scalability of financial crime monitoring and reporting. Proven proficiency in Power BI, SQL, Databricks (or equivalent), JIRA, data modelling, ETL processes, reporting architecture, automation and business intelligence solutions.