1 to 25 of 115 Validation Jobs in the City of London

intelligence, and product needs. Monitor, troubleshoot, and optimise data pipeline performance and reliability . Collaborate with analysts, engineers, and product teams to gather and translate data requirements. Implement data validation and quality checks to ensure data integrity. Participate in architecture discussions and contribute to technical roadmap planning . Skills and Attributes Strong analytical mindset with exceptional attention to detail. Excellent More ❯

intelligence, and product needs. Monitor, troubleshoot, and optimise data pipeline performance and reliability . Collaborate with analysts, engineers, and product teams to gather and translate data requirements. Implement data validation and quality checks to ensure data integrity. Participate in architecture discussions and contribute to technical roadmap planning . Skills and Attributes Strong analytical mindset with exceptional attention to detail. Excellent More ❯

data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and More ❯

data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and More ❯

Provide ongoing system support, resolve issues, and perform debugging and testing. • Ensure platform stability and security across multiple environments. Data Management & Quality • Design and manage data models, queries, and validation rules to ensure integrity and reliability. • Support data migration and ensure compliance with governance standards. Collaboration & Documentation • Work closely with stakeholders, project managers, and other IT specialists to translate business More ❯

Provide ongoing system support, resolve issues, and perform debugging and testing. • Ensure platform stability and security across multiple environments. Data Management & Quality • Design and manage data models, queries, and validation rules to ensure integrity and reliability. • Support data migration and ensure compliance with governance standards. Collaboration & Documentation • Work closely with stakeholders, project managers, and other IT specialists to translate business More ❯

Excel/Python/R) into technical specifications for developers and data engineers. Collaborate with underwriters and actuaries to improve model governance, version control and reporting. Support UAT, model validation and release testing. Deliver insights and metrics around model performance, quote success and underwriting efficiency. Partner with insurers and MGAs to streamline pricing and underwriting processes through automation and data. More ❯

Excel/Python/R) into technical specifications for developers and data engineers. Collaborate with underwriters and actuaries to improve model governance, version control and reporting. Support UAT, model validation and release testing. Deliver insights and metrics around model performance, quote success and underwriting efficiency. Partner with insurers and MGAs to streamline pricing and underwriting processes through automation and data. More ❯

APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and More ❯

APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and More ❯

What You’ll Be Doing: 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 to both technical and non More ❯

What You’ll Be Doing: 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 to both technical and non More ❯

What the role entails: Some of the main duties of the Kronos Support Analyst will include: Lead configuration workshops for Kronos Time & Attendance System. Lead business engagement and data validation workshops to gain understanding of HR data and requirements for the solution. Develop and oversee new client configurations within the solution, review configuration changes and support queries raised which include More ❯

The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures Monitor data pipelines and ensure timely data updates Business Intelligence & Reporting Develop More ❯

The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures Monitor data pipelines and ensure timely data updates Business Intelligence & Reporting Develop More ❯

client technology standards. Produce and maintain project documentation including cutover runbooks, testing plans, and implementation schedules. Provide technical oversight and assurance during network cutover events. Conduct network troubleshooting and validation activities following implementation. Collaborate closely with client stakeholders, site teams, and project managers to coordinate delivery across multiple regions. Contribute to the continual improvement of implementation processes and operational standards. More ❯

client technology standards. Produce and maintain project documentation including cutover runbooks, testing plans, and implementation schedules. Provide technical oversight and assurance during network cutover events. Conduct network troubleshooting and validation activities following implementation. Collaborate closely with client stakeholders, site teams, and project managers to coordinate delivery across multiple regions. Contribute to the continual improvement of implementation processes and operational standards. More ❯

and timelines to ensure readiness for testing and go-live. Champion effective ways of working, bringing teams into alignment with agile principles and delivery excellence. Support ongoing testing and validation phases — ensuring a robust framework is in place b What We’re Looking For Proven experience as a Product Owner within Asset Servicing or a related financial operations environment. Strong More ❯

and timelines to ensure readiness for testing and go-live. Champion effective ways of working, bringing teams into alignment with agile principles and delivery excellence. Support ongoing testing and validation phases — ensuring a robust framework is in place b What We’re Looking For Proven experience as a Product Owner within Asset Servicing or a related financial operations environment. Strong More ❯

Stakeholders: Work closely with business process owners, system integrators, and IT teams to gather requirements, validate security designs, and ensure roles meet functional needs without compromising security. Testing and Validation: Support the User Acceptance Testing (UAT) phase by providing expertise on role-based security, troubleshooting access issues, and ensuring roles function as designed. Documentation: Create and maintain detailed documentation of More ❯

Stakeholders: Work closely with business process owners, system integrators, and IT teams to gather requirements, validate security designs, and ensure roles meet functional needs without compromising security. Testing and Validation: Support the User Acceptance Testing (UAT) phase by providing expertise on role-based security, troubleshooting access issues, and ensuring roles function as designed. Documentation: Create and maintain detailed documentation 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 ❯

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 ❯

teams Contribute to solution design, functional specifications, and business process mapping Assist in pre-sales activities including demo preparation, RFP responses, and solution estimations Participate in cutover planning, data validation, and hypercare support during go-lives Remain up to date with latest SAP Finance innovations (e.g. Universal Journal, Fiori apps) Actively mentor junior consultants and support knowledge development within the More ❯

teams Contribute to solution design, functional specifications, and business process mapping Assist in pre-sales activities including demo preparation, RFP responses, and solution estimations Participate in cutover planning, data validation, and hypercare support during go-lives Remain up to date with latest SAP Finance innovations (e.g. Universal Journal, Fiori apps) Actively mentor junior consultants and support knowledge development within the More ❯