151 to 175 of 4,265 Validation Jobs in the UK

learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise ...

Oracle Fusion data models, table structures, subject areas, and data dictionaries. Advanced SQL and PL/SQL skills. Strong understanding of data extraction, validation, reconciliation, and reporting architecture. Experience designing scalable, supportable, and high-performance reporting solutions. Ability to translate business requirements into reusable technical solutions. Desirable Skills Experience with ...

risks, issues, dependencies, and change requests, providing clear communication to customers and internal stakeholders. Support testing activities, including functional testing, user acceptance testing, data validation, and go-live readiness assessments. Deliver customer training and knowledge transfer sessions to drive adoption and long-term success. Act as a subject matter expert ...

support and enhance Workday Extend applications, ensuring solutions are secure, maintainable, user-focused and aligned to agreed design principles.Support integration monitoring, error handling, data validation, defect resolution and production support activity across Workday and connected systems.Produce and maintain high-quality technical deliverables, including integration design documents, mapping specifications, test evidence ...

support and enhance Workday Extend applications, ensuring solutions are secure, maintainable, user-focused and aligned to agreed design principles.Support integration monitoring, error handling, data validation, defect resolution and production support activity across Workday and connected systems.Produce and maintain high-quality technical deliverables, including integration design documents, mapping specifications, test evidence ...

developed by QA team and provide feedbackEscalate issues and risks to management as requiredOversee defect managementPerform ad hoc testing, as necessaryParticipate in post-release validation activities.Qualifications we seek in you!Minimum QualificationsHave 4+ years professional experience at a large financial institutionHave a 4 year college degree with outstanding academic credentialsHave ...

bottlenecks, and perform root‐cause analysis Experience with SQL Server database release processes, including schema migrations, deployment scripts, versioning, rollback strategies, and production release validation Solid experience modelling, designing, and deploying database solutions using Microsoft’s SQL Server Data Tools Hands‐on experience with dbt for data transformation, building version ...

model performance in a business context Experience designing measurement frameworks that prove genuine incremental value SQL proficiency; Python or R for data exploration, model validation, and decisioning diagnostics Hands-on automation experience — trigger-based journeys, event-driven architecture, consent management Solution-oriented and proactive — you define the path forward, raise ...

risks, issues, dependencies, and change requests, providing clear communication to customers and internal stakeholders. Support testing activities, including functional testing, user acceptance testing, data validation, and go-live readiness assessments. Deliver customer training and knowledge transfer sessions to drive adoption and long-term success. Act as a subject matter expert ...

consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. Ensure enterprise data integrity, validation, documentation, and governance. Platform & Software Engineering Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST ...

experience maintaining and building self‐serve Power BI dashboards and reports, optimising report performance and ensuring consistency of metrics across dashboards. Data quality, validation, and integrity; hands on experience designing and running data QA checks (completeness, accuracy, consistency), with clear documentation of assumptions, limitations, and methodology. Experience peer reviewing analysis ...

successful call, by a person or an agent, as a metric you own. Partner with Product to add technology value Act as the technical validation point for product ideas, pressure‐testing feasibility, cost, risk and sequencing early, before commitments are made. Bring technology‐led opportunities to the table: things ...

model performance in a business context Experience designing measurement frameworks that prove genuine incremental value SQL proficiency; Python or R for data exploration, model validation, and decisioning diagnostics Hands-on automation experience — trigger-based journeys, event-driven architecture, consent management Solution-oriented and proactive — you define the path forward, raise ...

strong understanding of AI model risk management, including risks and controls specific to Generative AI and agentic AI, and their implications for model validation and governance Practitioner-level agentic AI skills: a demonstrated track record of building, deploying and evaluating AI agents and multi-agent systems, including tool use, orchestration … systems from prototype to production, with attention to reliability, safety, and responsible-AI controls A solid understanding of quantitative finance, modeling and model validation, together with financial products and markets, is valued. This is desirable rather than essential for candidates who bring exceptional AI and agentic depth Proficiency in programming ...

GenAI-based components. You'll also build your own tooling — agentic AI systems that read model documentation and code and surface risks automatically, so validation keeps pace with how fast first-line teams ship.The scope spans the full model lifecycle: data integrity and feature engineering, conceptual soundness, deployment design across … data privacy.You'll validate emerging techniques as first-line teams adopt them — graph networks, behavioral biometrics, anomaly detection, and GenAI-based systems.You'll document validation outcomes and communicate model risks directly to first-line data scientists, ML engineers, and business stakeholders.Who you areYou've spent 3+ years hands ...

models than ever before in financial services. We are looking for a Risk Analyst to join the team to support with the independent validation of business-critical models. The growing prominence of model risk management is reflected in Nationwide’s investment in the continuous improvement of our modelling capability, highlighting … Analyst. Banking - but fairer, more rewarding, and for the good of society What you’ll be doing You will be responsible for conducting thorough validation of models used for regulatory capital estimation, credit risk management and the forecasting of key financial and economic measures, ensuring compliance with the regulator ...

responsible for designing, building and maintaining secure, scalable data solutions across the full data lifecycle - from acquisition and integration through to processing, validation and analysis. You'll work closely with Data Scientists, Analysts, DevOps Engineers, Cyber Consultants and customer stakeholders to deliver robust, secure and maintainable data solutions. Key Responsibilities … Control Documents (ICDs) . Integrate data from REST APIs and other source systems. Work with Parquet and S3‐compatible object storage . Implement data validation, assurance, metadata management and data lineage. Develop automation and data‐driven tools to support customer requirements. Contribute to technical decisions and investigate emerging technologies where ...

responsible for designing, building and maintaining secure, scalable data solutions across the full data life cycle - from acquisition and integration through to processing, validation and analysis. You'll work closely with Data Scientists, Analysts, DevOps Engineers, Cyber Consultants and customer stakeholders to deliver robust, secure and maintainable data solutions. … Control Documents (ICDs) . Integrate data from REST APIs and other source systems. Work with Parquet and S3-compatible object storage . Implement data validation, assurance, metadata management and data lineage. Develop automation and data-driven tools to support customer requirements. Contribute to technical decisions and investigate emerging technologies where ...

also contribute as a hands‐on engineer, building software, automation, integrations, and AI‐driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision‐making. The ideal candidate combines strong software development skills, experience working with design systems and Figma‐based workflows, practical understanding of localisation … scalability. .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions. Work with the wider Localisation team to define best practices and guidance that ...

rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through … data models for data warehouse/data lake (Redshift, S3) Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR) Implement data quality checks, validation, and reconciliation processes Optimize pipeline performance and manage compute/storage costs Ensure data security and access control (IAM, KMS, encryption) Monitor and troubleshoot pipeline ...

Provide expert guidance on Informatica architecture, mappings, integration patterns, and cloud re-platforming approaches. Define ETL migration strategies, source-to-target mapping methodologies, and validation approaches in collaboration with delivery teams. Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge articles. Assure data … pipeline integrity throughout migration, testing, validation, and dual-running activities. Mentor and guide Informatica engineers and project teams throughout the delivery lifecycle. Skills We Can't Do Without Extensive experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS) . Strong expertise in ETL development, data integration ...

other critical systems, such as our ERP (SAP), and shop-floor equipment (PLCs/SCADA), ensuring a reliable flow of data.Validation and Compliance: Execute validation protocols (IQ/OQ/PQ) for MES enhancements and new implementations. You will be responsible for generating validation documentation and ensuring systems are maintained … pharmaceutical, biologics, animal health, or another GxP-regulated industry.Regulatory Knowledge: A working knowledge of GxP (Good Manufacturing Practices) and familiarity with computer system validation (CSV) principles.Process Control Understanding: Familiarity with industrial automation concepts, including PLCs, SCADA, and how they integrate with higher-level manufacturing systems.Database and SQL Skills: Experience with ...

actionable insights. Write, optimise and maintain complex SQL queries. Work with POLEv2 data structures and associated data models. Support data mapping, transformation and validation activities. Extract, cleanse and manipulate data from multiple sources. Investigate data quality issues and support remediation activities. Produce accurate analysis and reporting to support programme … experience writing and analysing complex queries. POLEv2 - practical experience working with POLEv2 data, data structures or data mapping. Data analysis and interpretation. Data cleansing, validation and quality assurance. Working with large and complex datasets. Data mapping and transformation. Identifying and resolving data-quality issues. Producing clear analytical outputs and reports. ...

approaches tailored to specific client needs, using tools such as Alteryx, Excel, Power Query, Power BI, and other analytical platforms. Manage data collection, cleansing, validation, transformation, and interpretation processes to ensure data accuracy, consistency, and reliability. Develop and maintain transparent methodologies, assumptions, calculation logic, and audit trails that support accurate … apply advanced analytical techniques to solve client challenges. Significant experience using Excel, Alteryx, Power Query, and similar tools to perform complex calculations, data transformation, validation, quality checks, and reporting. Experience developing robust methodologies, assumptions, and analytical frameworks that ensure accuracy, consistency, and auditability. Strong understanding of data governance, data quality ...

first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical … Site Reliability Engineers. Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity. Ability to set and reinforce organization‐level practices for reviewing AI‐assisted recommendations and escalating uncertain decisions while maintaining ...