3 of 3 Temporary Model Validation Jobs in London

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

interrogate financial data, challenge outputs and identify inconsistencies or errors. Experience with Adaptive HTML reporting. Previous involvement in finance systems implementations, upgrades or model rebuilds. Advanced Excel skills and excellent analytical capabilities. Confident working independently with Finance stakeholders and external implementation partners. Desirable Experience Oracle NetSuite implementation or integration ...

estate. Translating asset, lifecycle, application, OS, inventory, compliance and operational data into accurate dashboards and actionable insight. This role will own reporting standards, validation and stakeholder requirements to support management, risk and regulatory decision-making. What you'll do: Define data quality rules and analyse completeness, accuracy and consistency … need: Strong data analysis and reporting experience, ideally in IT Asset Management or enterprise technology operations. Expertise in data preparation, modelling, visualisation, validation and dashboard design. Ability to integrate and reconcile multiple data sources without reliance on a specific IT service-management platform. Ability to interpret complex datasets, identify ...