Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations.
Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
Develop and optimise detection logic and monitoring rules (e.g., transaction monitoring scenarios, anomaly detection, behavioural patterns).
Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
Build dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows.

About the role

Data Analyst - Financial Crime

Ebury is seeking a Data Analyst to join our Financial Crime domain within the Data Analytics & Anti-Money Laundering teams. Our data mission is to enable effective risk detection, monitoring and operational efficiency through robust data models, scalable analytics and high-quality reporting. The team collaborates with AML, Compliance and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions. Projects range from building curated data models powering transaction monitoring and screening capabilities, to developing analytical frameworks for customer risk assessment, behavioural analysis, and investigation support across our global entities.

Responsibilities

Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations.
Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
Develop and optimise detection logic and monitoring rules (e.g., transaction monitoring scenarios, anomaly detection, behavioural patterns).
Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
Build dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows.
Collaborate with investigators and compliance analysts to identify dat

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Key requirements

Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations.
Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
Develop and optimise detection logic and monitoring rules (e.g., transaction monitoring scenarios, anomaly detection, behavioural patterns).
Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
Build dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows.

About the role

Data Analyst - Financial Crime

Ebury is seeking a Data Analyst to join our Financial Crime domain within the Data Analytics & Anti-Money Laundering teams. Our data mission is to enable effective risk detection, monitoring and operational efficiency through robust data models, scalable analytics and high-quality reporting. The team collaborates with AML, Compliance and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions. Projects range from building curated data models powering transaction monitoring and screening capabilities, to developing analytical frameworks for customer risk assessment, behavioural analysis, and investigation support across our global entities.

Responsibilities

Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations.
Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
Develop and optimise detection logic and monitoring rules (e.g., transaction monitoring scenarios, anomaly detection, behavioural patterns).
Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
Build dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows.
Collaborate with investigators and compliance analysts to identify dat