76 to 100 of 658 Validation Jobs in London

Global Market Intelligence in London seeks a Senior Product Analyst to design workflows for market data ingestion, enrichment, validation, and delivery within Risk Analytics. You will translate business needs into data mappings, user stories, and acceptance criteria, while supporting APIs, data pipelines, and observability across teams. The role requires experience ...

analysis Performance tuning, indexing and database optimisation Backup, recovery, replication, failover and disaster recovery Troubleshooting complex production database environments Data reconciliation and data integrity validation AWS services including IAM, CloudWatch, KMS, VPC and Secrets Manager Infrastructure as Code ( Terraform or CloudFormation ) CI/CD experience Excellent stakeholder management and technical ...

Workday and/or TechWolf is an advantage. Excellent stakeholder management skills, with the confidence to engage senior business and HR stakeholders and facilitate validation discussions. Strong written and verbal communication skills, with the ability to translate technical or data-heavy findings into clear, business-relevant narratives. High attention ...

data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and market risk analysis. Conduct data profiling, cleansing, and validation to ensure accuracy and consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support ...

regulatory frameworks and contribute to large-scale transformation programmes. Key Responsibilities: Requirements & Analysis Lead the end-to-end requirements lifecycle, from elicitation through to validation Produce high-quality documentation including BRDs, user stories, process flows and data models Conduct gap analysis (as-is vs. target state) Ensure requirements align with ...

user access controls, security roles, permissions, and configuration settings within Dynamics 365. Support data management activities, including data imports, exports, cleansing, migration activities, and validation to maintain data accuracy and quality. Analyse configuration changes, assess potential impacts, support user acceptance testing, and prepare approved changes for controlled deployment. Investigate ...

management and service transition Define scope, plans and milestones across multi-disciplinary teams Lead implementation, configuration, customisation and integrations Oversee data migration, cutover and validation activity Manage vendors, suppliers and technical teams Run governance, RAID management and progress reporting Support business change and user adoption Budget tracking and cost control. ...

user access controls, security roles, permissions, and configuration settings within Dynamics 365. Support data management activities, including data imports, exports, cleansing, migration activities, and validation to maintain data accuracy and quality. Analyse configuration changes, assess potential impacts, support user acceptance testing, and prepare approved changes for controlled deployment. Investigate ...

management and service transition Define scope, plans and milestones across multi-disciplinary teams Lead implementation, configuration, customisation and integrations Oversee data migration, cutover and validation activity Manage vendors, suppliers and technical teams Run governance, RAID management and progress reporting Support business change and user adoption Budget tracking and cost control. ...

meetings Optimise database performance through query tuning, execution plan analysis and configuration improvements Investigate and resolve complex production database issues Lead data reconciliation, integrity validation and root cause analysis Manage database upgrades, patching, monitoring, security and capacity planning Collaborate with architects, developers and cloud engineering teams to deliver scalable database ...

data engineering, governance, and platform usage Contribute to the design of the target operating model for the data platform Lead the design, testing, and validation of use cases and hypotheses to demonstrate platform value Define and support learning and development pathways to upskill internal teams Facilitate workshops, discovery sessions ...

Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly ...

Market Discovery Develop a deep understanding of accounting firm operations, workflows, challenges, and business objectives. Conduct customer interviews, discovery sessions, usability reviews, and validation activities. Translate customer problems and market opportunities into actionable product requirements and solutions. Practice Management Domain Leadership Serve as a subject matter expert in accounting firm ...

developing technical capabilities for reporting and workflow optimisation. Data Management Expertise: Proven ability to handle data with high accuracy, ensuring quality controls and validation processes are in place. Analytical Skills: Experience in tracking and interpreting KPIs and operational performance metrics, with the ability to create insightful dashboards and presentations. Strong ...

processes to identify inefficiencies and implement automation and standardisation Requirements Strong experience working with large, complex datasets Advanced Excel skills for analysis, reconciliation, and validation Experience in analytics, sales compensation, or related data operations Ability to perform root‐cause analysis and solve data quality issues Clear communication skills to work ...

Technical Concept Requirements Experience in NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions Experience in AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents Understanding of AI/ML performance measurement best practices including QA/ ...

build foundational skills in data engineering tools, practices, and platforms. The role includes: Assist in building and running data pipelines and products. Perform data validation and quality checks. Support debugging and issue resolution. Document processes and workflows. Learn tools, platforms, and standards. Please see the attached job description for more ...

Glue/Athena, Lake Formation) Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security ...

delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life ...

scoping and solution design to execution and ongoing delivery. Ensure high analytical and technical standards across the team, including SQL, PySpark, Python, and data validation best practices. Act as an escalation point for complex analytical challenges, providing hands-on guidance where needed. Partner closely with Engineering to define scalable infrastructure ...

Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark for working with large‐scale data and machine ...

enterprise clients, and provide regular strategic status updates to project sponsors and corporate executives. Technical & Integration Oversight : Scope and manage project dependencies around technical validation, identity provider setups (SSO/SCIM), and third-party application or custom ERP integration touchpoints. Testing Quality Control : Define clear entry and exit criteria ...

collaborative approach to compliance. Oversee plan setup and monthly actuals ingestion within MediaTools, maintaining accurate, complete, and reliable data. Monitor data quality through structured validation and quality control processes, identifying issues before they impact reporting and insights. Conduct root cause investigations into data discrepancies, coordinating resolution across markets, platforms ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life ...

extract. Pair with each domain analyst on their source‐specific extraction builds, providing GCP architectural guidance while the analyst owns domain‐specific field mapping, validation, and sign‐off. Design and maintain the Cloud SQL unified data model, including the HR to Finance mapping table and the join layer that serves ...