101 to 125 of 547 Validation Jobs in London

Experience with Avaloq: Familiarity with Avaloq's physical data layer is essential Knowledge of data quality frameworks: Understanding of profiling dimensions and industry-standard approaches (e.g., DQ checks, data validation rules) Nice-to-Have Skills Description: Experience with Avaloq Reporting & Data Extracts (ARD, ADF, SmartView): Familiarity with Avaloq-specific data export or reporting mechanisms would help accelerate development. Knowledge of More ❯

Experience with Avaloq: Familiarity with Avaloq's physical data layer is essential Knowledge of data quality frameworks: Understanding of profiling dimensions and industry-standard approaches (e.g., DQ checks, data validation rules) Nice-to-Have Skills Description: Experience with Avaloq Reporting & Data Extracts (ARD, ADF, SmartView): Familiarity with Avaloq-specific data export or reporting mechanisms would help accelerate development. Knowledge of More ❯

end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data More ❯

Experience with Avaloq: Familiarity with Avaloq's physical data layer is essential Knowledge of data quality frameworks: Understanding of profiling dimensions and industry-standard approaches (e.g., DQ checks, data validation rules) Nice-to-Have Skills Description: Experience with Avaloq Reporting & Data Extracts (ARD, ADF, SmartView): Familiarity with Avaloq-specific data export or reporting mechanisms would help accelerate development. Knowledge of More ❯

end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data More ❯

Experience with Avaloq: Familiarity with Avaloq's physical data layer is essential Knowledge of data quality frameworks: Understanding of profiling dimensions and industry-standard approaches (e.g., DQ checks, data validation rules) Nice-to-Have Skills Description: Experience with Avaloq Reporting & Data Extracts (ARD, ADF, SmartView): Familiarity with Avaloq-specific data export or reporting mechanisms would help accelerate development. Knowledge of More ❯

end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data More ❯

data into structured, analysis-ready datasets. Develop and optimise data models (including Data Vault and dimensional modelling) to support large-scale analytics. Implement and enforce data quality, governance, and validation frameworks . Write complex SQL to ensure accuracy, performance, and scalability. Collaborate with data engineers and architects to ensure seamless data integration across platforms. Automate repetitive data processes and workflows More ❯

Cloud and other Bank systems, ensuring data accuracy and consistency. Assist in the migration of existing legacy solutions to the Oracle Cloud platform, providing guidance on data migration and validation processes. Troubleshoot and resolve technical issues during the implementation process, working closely with Oracle Support as needed. Develop custom reports, dashboards, and data visualizations to meet the Bank's unique More ❯

data into structured, analysis-ready datasets. Develop and optimise data models (including Data Vault and dimensional modelling) to support large-scale analytics. Implement and enforce data quality, governance, and validation frameworks . Write complex SQL to ensure accuracy, performance, and scalability. Collaborate with data engineers and architects to ensure seamless data integration across platforms. Automate repetitive data processes and workflows More ❯

Facilitate workshops, prototype walkthroughs, and playback sessions to validate proposed solutions with stakeholders, ensuring all insights are incorporated. Collaborate closely with QA and product teams during system testing and validation phases, providing necessary training and change support to ensure institutional readiness. Stay informed about mortgage industry trends, regulatory changes, and emerging AI practices in business analysis to enhance your contributions. More ❯

Facilitate workshops, prototype walkthroughs, and playback sessions to validate proposed solutions with stakeholders, ensuring all insights are incorporated. Collaborate closely with QA and product teams during system testing and validation phases, providing necessary training and change support to ensure institutional readiness. Stay informed about mortgage industry trends, regulatory changes, and emerging AI practices in business analysis to enhance your contributions. More ❯

Facilitate workshops, prototype walkthroughs, and playback sessions to validate proposed solutions with stakeholders, ensuring all insights are incorporated. Collaborate closely with QA and product teams during system testing and validation phases, providing necessary training and change support to ensure institutional readiness. Stay informed about mortgage industry trends, regulatory changes, and emerging AI practices in business analysis to enhance your contributions. More ❯

Facilitate workshops, prototype walkthroughs, and playback sessions to validate proposed solutions with stakeholders, ensuring all insights are incorporated. Collaborate closely with QA and product teams during system testing and validation phases, providing necessary training and change support to ensure institutional readiness. Stay informed about mortgage industry trends, regulatory changes, and emerging AI practices in business analysis to enhance your contributions. More ❯

frameworks Lead pay element harmonisation and optimisation Guide integration strategies using PECI, PICOF, and custom interfaces Identify automation opportunities to reduce manual effort Support test strategy, parallel runs, data validation, and knowledge transfer Work as an extension of the client team to guide implementation success Assist with requirements gathering, documentation, and policy review Support testing, including test script creation, execution More ❯

for Cash Equities trading operations, ensuring stability and incident resolution. Collaborate with front-office development teams to align on design interfaces and interrelated functionalities. Conduct unit testing and functional validation of developed code to ensure quality standards. Lead and coordinate efforts with Quality Assurance analysts to guarantee rigorous testing and validation. Ensure the timely delivery of high-quality software solutions More ❯

research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Manage the full lifecycle of domain-specific models, including training, fine-tuning, validation, deployment, and monitoring in production environments Keep up to date with the latest in the field of applied AI to identify and propose novel solutions capable of driving our business More ❯

and ProtBFN 7 ). This requires pushing the boundaries of both fundamental aspects of generative AI - including new algorithms, enhanced sampling and reasoning techniques - and the development and validation of these ideas for biological domains. As a Research Scientist at InstaDeep, you will have the opportunity to: Advance Foundational Research Tackle challenges in generative modelling, such as handling heterogeneous, multimodal More ❯

and industry specific systems will be provided. Main Responsibilities Testing: Scripted end to end testing of existing functionality, where that functionality is not yet incorporated into automated test scripts. Validation of issues found whilst testing existing functionality to determine whether they are regressions or a pre-existing issues. Scripted end to end testing of new functionality. Exploratory testing based on More ❯

ve got up your sleeve It would be great if you also have some of the following skills: Experience with Data Build Tool (DBT) including building data models, tests, validation, and transformations. In-depth knowledge of sports betting markets, including odds calculation, betting types and market trends Previous experience in the online gaming or casino industry, with a strong understanding More ❯

Proven ability to work with both technical and accounting teams, translating between system data and business meaning. Proficiency in Excel, SQL basics, or BI tools for data analysis and validation preferred. More ❯

data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication and stakeholder management skills, including working with global and U.S. based teams. Delivery focused, proactive, and able to work with minimal supervision in an agile environment. Experience More ❯

data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication and stakeholder management skills, including working with global and U.S. based teams. Delivery focused, proactive, and able to work with minimal supervision in an agile environment. Experience More ❯

data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication and stakeholder management skills, including working with global and U.S. based teams. Delivery focused, proactive, and able to work with minimal supervision in an agile environment. Experience More ❯

data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication and stakeholder management skills, including working with global and U.S. based teams. Delivery focused, proactive, and able to work with minimal supervision in an agile environment. Experience More ❯