Fraud Data Analyst at Zempler Bank

Delivered data pipelines and self-service dashboards in SQL, Power BI, and SSRS, enabling senior stakeholders and regulators (FCA) with timely insights for strategic decisions. Analysed and optimised rule-based systems to balance fraud loss prevention with alert volumes and false positives, improving efficiency and customer experience. Built data-driven models (decision trees, feature engineering in SQL/Python) to strengthen early detection of risky activity and inform product/operations strategy. Developed a dynamic Customer Risk Rating (CRR) system in SQL with integrated Power BI dashboards, streamlining annual reviews and enhancing regulatory compliance. Partnered with Product and Operations to enhance the in-house Case Management System, optimising rule performance and surfacing insights that reduced false positives and improved investigator efficiency. Automated BAU and ETL processes with Python scripts and SQL procedures, reducing manual workload and improving data quality. Mento

Fraud Data Analyst at Barclays

Managed scoring models and rule performance in fraud detection tools, optimising false positive rates and ensuring alignment with KPIs. Produced design, development and deployment of analysis and monitoring to prevent and detect fraud, responding to emerging trends and attacks. Assisted stakeholders to articulate their fraud system strategy requirements, guiding and challenging where appropriate.

SAS Administrator at NHS Digital

Administered SAS DI Studio, SAS Management Console, SAS EG, Flow Manager, and Platform RTM. Provided technical support to resolve SAS-related issues, maintaining the system and processes. Promoted software assets within SAS via DevOps principles (DEV, UAT, PROD) and collaborated with third-party suppliers. Coordinated with internal service management teams to resolve incidents, integrate changes and maintain a high level of service. Coordinated workloads using Cherwell Service Management Tool, SharePoint, OneDrive, JIRA, and MS Teams.