76 to 100 of 605 Validation Jobs in London

including ETR, tax liabilities, Pillar Two Requirements and country-by-country reporting, ensuring data accuracy and completeness. Ensure data security and compliance within TRCS, implementing appropriate access controls and validation rules to protect sensitive tax information. Provide ongoing training and support to tax and finance team members on TRCS functionality, ensuring efficient usage and adoption. Monitor Oracle EPM Cloud updates More ❯

team responsibilities over the course of the year through discussion with other teams, departments & stakeholders to contribute to meeting the overall objectives of the DnA Team. Responsible for data validation checks on valuation data, ensuring the team are dealing with exceptions appropriately on a quarterly basis. Accountable for balancing change & transformation activities (system migration and workflow design) with quarterly core More ❯

is a fundamental redesign of all core processes to ensure that they're industry leading, best in class and scalable for the next generation. Key Responsibilities Responsible for data validation checks on valuation data, ensuring the team are dealing with exceptions appropriately on a quarterly basis. Be involved in optimising, and automating processes, tasks and activities. Working in conjunction with More ❯

in high-impact capabilities. Conduct and synthesise competitor intelligence to identify industry benchmarks, gaps, and differentiators-informing both product positioning and long-term AI strategy. Use Case Identification and Validation Identify high-value software and AI use cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance More ❯

a quantitative discipline, with professional qualification such as CPA, CFA, FRM an added advantage Minimum 3 years of relevant working experience such as Product Control, Market Risk Management, Model Validation, with hands-on experience Broad understanding of financial products, knowledge of crypto products is a plus Proficient in Python and SQL Strong analytical skills, detailed oriented Hands-on, passionate about More ❯

and data requirements for analytics and reporting projects. Conduct data profiling, gap analysis , and root cause investigation to ensure data quality and consistency. Lead data migration efforts, including mapping, validation, and reconciliation across platforms. Collaborate with data engineers to validate pipelines, transformations, and ingestion processes. Design and execute test plans, including functional, regression, and user acceptance testing (UAT) . Work More ❯

this role is built for impact. ️ Key Responsibilities: Build and train machine learning models and algorithms Preprocess, clean, and analyse datasets from multiple sources Apply best practices for testing, validation, and deployment Work closely with data scientists, engineers, and product teams Deploy ML models in production environments Continuously optimise models based on real-world feedback Maintain clear documentation for workflows More ❯

Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of databases (e.g., SQL, NoSQL), data warehousing, and big data technologies. Experience implementing data quality checks and validation processes to ensure data consistency and integrity Excellent problem-solving and communication skills. Create and maintain comprehensive documentation for data infrastructure, processes, and workflows GCS is acting as an Employment More ❯

media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders. Campaign Optimization: Provide insights to improve media buying strategies, including channel allocation and budget optimization. Advanced Analytics More ❯

to our Utilities and Infrastructure Team, we are flexible on location with a hybrid/remote working environment. Main Responsibilities, Tasks and Key Duties: Data capture, management, analysis and validation Data conversion and integration Map production for Land Referencing products Development and implementation of methodologies for creation and use of spatial data Digitising, editing, coding, and annotating line, point and More ❯

Aon's data assets to produce MI for brokers, markets, and clients Identify new automatic data capture tools & processes to enhance Aon's data repository Apply best-practice data validation techniques when preparing data for analysis Collaborating with and coordinating analytical teams in the development of new portfolio solutions Presentation of insights to senior stakeholders across your region(s) Delivery More ❯

to take the lead in back-end QA engineering? This is your opportunity to step into a Senior QA Automation Engineer role where your passion for API testing, performance validation, and backend automation is truly valued.Join a collaborative, fast-moving team that’s shaping the future of retail tech—partnering with high-profile global brands to deliver seamless customer experiences More ❯

to take the lead in back-end QA engineering? This is your opportunity to step into a Senior QA Automation Engineer role where your passion for API testing, performance validation, and backend automation is truly valued. Join a collaborative, fast-moving team that’s shaping the future of retail tech—partnering with high-profile global brands to deliver seamless customer More ❯

functional specifications. Produce and maintain data dictionaries, lineage documentation, and reporting logic. Act as the primary liaison between business SMEs and DWH technical delivery teams. Facilitate requirements workshops, data validation sessions, and UAT preparation. Support definition of data quality rules, reconciliation checks, and exception handling mechanisms. Assist in establishing data governance practices for ongoing DWH use. Assist with traceability of More ❯

able to use coding languages to solve complex problems with respect to security, resilience and scale. You'll also need to be capable of complex requirements analysis capture and validation against and with business and platform requirements. Additionally, you'll demonstrate experience of Actively participate in Agile ceremonies, such as sprint planning, daily stand-ups, sprint reviews, and retrospectives. Work More ❯

in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with More ❯

in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with More ❯

industry-specific systems will be provided. Main Responsibilities: Testing Scripted end-to-end testing of existing functionality, especially where that functionality is not yet incorporated into automated test scripts. Validation of issues found during testing to determine regressions or pre-existing issues. Scripted end-to-end testing of new functionality. Exploratory testing based on business scenarios, including initial testing of More ❯

the migration, and maintenance of People Analytics dashboards across multiple visualisation platforms including Tableau, Power BI, and SAP Analytics Cloud (SAC). Help establish and maintain data quality standards, validation procedures, and governance protocols across people-related datasets. Lead UAT processes for dashboard implementations, ensuring deliverables meet business requirements before deployment. Conduct regular design reviews with end users to gather More ❯

needs of the global landscape. Skills & Experience Required • Experience in D365 Microsoft Dynamics 365 - Sales, Service, Field Service, Marketing Experience • Experience in Development/Configuration/solutions evaluation/Validation and deployment • Hands on experience writing plugins, workflows, JavaScript's, dialogs etc. • Excellent Analytical and Communication skills • NET, C#, JavaScript experience a plus/• Working knowledge of CRM's interoperability More ❯

and insights Support the development and maintenance of Business Intelligence (BI) dashboards and automated reports using tools such as Tableau, Power BI, or similar platforms Perform data cleansing and validation tasks to ensure the accuracy and reliability of datasets Collaborate with team members and stakeholders to understand data requirements and contribute to meaningful reporting solutions Support with the streamline of More ❯

and insights Support the development and maintenance of Business Intelligence (BI) dashboards and automated reports using tools such as Tableau, Power BI, or similar platforms Perform data cleansing and validation tasks to ensure the accuracy and reliability of datasets Collaborate with team members and stakeholders to understand data requirements and contribute to meaningful reporting solutions Support with the streamline of More ❯

with Consulting background. • Good communications skills and able to demonstrate leading and mentoring teams within a Global Delivery Model. • Willing to submit personal data for specific Background Check/Validation for Finance and Government Sector clients. Preferred • Certification in Success factors Modules (EC, EC Time Management, ONB, RCM, LMS ,PMGM ,Compensation) • Minimum of 3 Full Life-cycle implementations of leading More ❯

and process designs of seller enforcement and regain strategies for EU and UK marketplaces, (3) advise teams in adequate control setup, (4) drive auditing strategies and assurance missions for validation and (5) drive a comprehensive risk assessment across pillars and develop mitigations to continuously improve the companies risk posture. The ideal candidate is motivated and agile, has experience in risk More ❯

of new risk models and systems. Carry out periodic and ad-hoc risk analytics on clients, trading books, and products to inform risk-management decisions Participate in risk model validation reviews with other risk, back-office and front-office personnel or groups. Participate in new product/system reviews and represent the Risk Valuation group point of view. Build working More ❯