376 to 400 of 2,300 Validation Jobs in London

patterns, trends, and anomalies. Using Excel, SQL basics, or dashboards to validate findings. Stakeholder Management Skills Active listening Building trust Able to get clarification & validation Technical & Tool-Based Skills Understanding how clinical systems store, share, and report data. Knowing where to pull logs, extracts, or workflow data. Understanding: data fields ...

repositories Provide subject matter expertise on pre-trade and post-trade processes and their impact on onboarding Conduct gap analysis, impact assessments, and solution validation Participate in testing (UAT), implementation, and post-release support Required Skills & Experience Proven experience as a Business Analyst in financial services, preferably within back-office ...

Data Migration & Mapping Demonstrated experience delivering large-scale data migration projects Strong capability in: Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure, AWS, or GCP) Understanding of lakehouse architectures and hybrid data platforms Desirable Experience with medallion architecture (bronze ...

automation frameworks from scratch Strong knowledge of UI and API automation best practices Experience testing REST APIs using Postman, Swagger and JSON/XML validation Experience across the full software testing lifecycle Knowledge of accessibility testing using tools such as WAVE, AXE DevTools and VoiceOver Experience with CI/ ...

JSON, XML, HTTP methods, response codes, and web architecture. Experience working with test frameworks such as JUnit or TestNG. Knowledge of SQL and data validation techniques. Experience with CI/CD pipelines and tools such as GitHub Actions. Familiarity with Jira, Confluence, or similar delivery tools. A strong interest ...

into usable formats for analytics and trading Work closely with stakeholders to onboard and integrate external and internal data sources Develop and maintain data validation and quality controls to ensure accuracy and consistency Support production data workflows, troubleshooting issues and ensuring reliable data availability Contribute to improving data architecture, standards ...

assisted development practices. Job Responsibilities Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes Establish validation standards for AI-assisted work, including secure coding, peer review, and automated testing Promote reuse of effective patterns across the team to improve consistency ...

from defining analytical approaches through to querying, validating, interpreting, and communicating findings. Support experimentation initiatives, including A/B test analysis, metric definition and validation, result interpretation, and recommendations. Partner with product, engineering, and business stakeholders to clarify questions and decision requirements while ensuring analytical and statistical rigour. Produce well ...

within predictive modelling Advanced Python and SQL skills Experience building classification, regression and clustering models from the ground up Strong understanding of model performance, validation and optimisation Confident communicating insights to technical and non-technical stakeholders Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake ...

within predictive modelling Advanced Python and SQL skills Experience building classification, regression and clustering models from the ground up Strong understanding of model performance, validation and optimisation Confident communicating insights to technical and non-technical stakeholders Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake ...

forums.Drives client satisfaction, transparent communication, proactive risk management, and follow-on opportunities.Legacy Modernization Execution and QualityOrchestrates modernization workstreams, including code conversion, data migration, testing, validation, cutover, and stabilization.Owns migration and cutover risks, including data consistency, legacy dependencies, readiness gates, rollback planning, and business continuity.Ensures appropriate testing governance, where defined ...

create value through AI and data. Act as the bridge between business stakeholders, product teams and technical delivery teams. Work through data quality and validation challenges affecting product performance. Drive stakeholder engagement, adoption and benefits realisation. Shape future use cases and identify opportunities to expand the product's capabilities. Support ...

Develop executive dashboards and performance reports that provide meaningful insight into KPIs, trends, risks and opportunities. Maintain high levels of data quality through robust validation, assurance and reporting controls. Partner with Delivery, PMO and business stakeholders to ensure reporting meets operational and strategic needs. Drive continuous improvement of reporting processes ...

data driven. Experience in reviewing and maintaining system architectures, standards, change control procedures, and system backups. Understanding of cGMP, and GAMP principles including validation, change control, documentation, and compliance requirements for automated manufacturing systems. Experience with system integration involving MES, ERP, and other third‐party platforms. Strong adaptability towards ...

pipelines using Jenkins and GitLabDevelop Linux automation using Bash, shell scripting and cron jobsIntegrate Python applications with telecom network systems and APIsBuild automated validation, health checking and service monitoring capabilitiesImplement effective logging, monitoring and error handling across automation servicesWork closely with QA, Network Engineering and DevOps teams to identify ...

efficiency.Utilize SQL, Python, Snowflake, and/or Oracle, along with data quality frameworks, anomaly detection techniques, and statistical best practices to support data validation and monitoring.Navigate complex data environments, resolve root-cause data quality issues with internal and external partners, and develop automated controls to ensure high-quality data ...

dataset dependencies and upstream/downstream impacts Support data migration planning and execution Develop and maintain programme documentation, actions, decisions and dependencies Support testing, validation and business readiness Work with delivery teams and stakeholders to resolve issues and maintain progress Support the development of future-state operating models and ways ...

Python Develop clean, consistent, and well‐documented data models to support investment, risk, accounting, and reporting use cases Implement data quality, validation, reconciliation, monitoring, and alerting processes to ensure trust and auditability Support the production of critical reports used internally and externally, including investor and regulatory reportingWork closely with investment ...

Server Integration ServicesOffering technical guidance for database design and performance tuningHelp with the design of data models for efficient data access, reporting, and data validation during design and construction phasesQuery performance monitoring and tuning of databases and database server environmentsWork with key stakeholders as necessary to support BI reportingAdministering multiple ...

Develop internal automation tools, command-line utilities, and APIs for common operational tasks; Integrate automation frameworks with CI/CD pipelines for automated infrastructure validation, testing, and deployment; Implement testing strategies for infrastructure code, including unit, linting, and integration testing; Partner with cloud, platform, and application teams to identify manual ...

across different formats, delivery methods, update frequencies, and volumes — from megabytes to petabytes.- Profile and improve latency, throughput, memory usage, and query performance.- Build validation, reconciliation, and monitoring to detect missing, delayed, or incorrect data.- Investigate production issues with traders, portfolio managers, and researchers, prioritising work according to business impact. ...

Data Integration & Systems Improvement Support integrations between OneStream and source systems, including ERP platforms and other finance applications. Investigate and resolve data load, mapping, validation, and reconciliation issues. Work with Finance and IT stakeholders to improve processes and automate recurring activities. Drive enhancements that improve reporting efficiency and reduce manual ...

data accuracy checks. Validate ETL processes and data transformations. Verify data movement from source systems to reporting layers. Execute database and SQL-based validation tests. Identify data quality issues and perform root cause analysis. Create test strategies, test plans, test scenarios, and test cases. Execute functional, regression, integration ...

operational requirements of a complex multi-site business. Support the design and implementation of streamlined finance processes and robust internal controls. Oversee the cleansing, validation and migration of financial master data. Coordinate and execute finance testing, including User Acceptance Testing (UAT). Identify opportunities for system improvements and recommend finance ...

resolve issues proactively.Lead cost optimisation: monitor spend, right-size workloads, tune autoscaling, and improve infrastructure efficiency.Improve production readiness via pre-deployment checks, post-release validation, and robust platform guardrails.Introduce and run chaos engineering experiments to strengthen resilience and recovery.Automate operational processes to reduce manual intervention and toil across the stack.Support ...