1 to 25 of 330 Validation Jobs in London

data quality, security, and governance Integrates data from different sources, including databases, data warehouses, APIs, and external systems Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques Optimizes data pipelines and data processing workflows for performance, scalability More ❯

in a fast-paced environment Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering More ❯

in a fast-paced environment Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering 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 ❯

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 ❯

improvement. Contribute to process refinement, ensuring scalable and efficient data testing practices. Person Specification: Strong understanding of data engineering concepts, data models and ETL workflows. Experience creating automated data validation scripts or frameworks using SQL, Python, or PySpark. Proficient in testing data within cloud ecosystems (AWS, Azure (preferred) or GCP). Experience with testing frameworks or tools such as PyTest More ❯

retention, and regulatory requirements during client disablement. Prepare and maintain high-quality business and functional documentation, including BRDs, FRDs, and data mapping specifications. Participate in UAT and post-implementation validation activities to ensure accuracy of disablement logic and outcomes. Skills & Experience Required: Essential: Proven experience as a Technical Business Analyst within Wealth Management, Private Banking, or Corporate Banking domains. Strong More ❯

for data processing, pricing, and simulation. Translate complex mathematical models into robust, efficient, and maintainable code. Ensure system reliability, scalability, and low latency across all components. Participate in model validation, performance tuning, and version control processes. Stay up to date with advances in quantitative finance, computational techniques, and emerging technologies. Profile Strong programming experience in Python, C++, or C#; knowledge More ❯

Data Warehouse) - understanding of data warehousing concepts and testing strategies Proficiency in advanced SQL and DocumentDB (Cosmos DB) queries - capable of writing, optimising, and troubleshooting complex queries for data validation Excellent communication skills - able to collaborate effectively with cross-functional teams and stakeholders Strong coordination abilities - managing testing activities across teams, timelines, and deliverables A proven track record of successful 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 ❯

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 ❯

alignment with HSBC's change management standards. Drive issue resolution and support Fix & Remediation initiatives as part of ongoing compliance assurance. Support UAT planning and execution, including test case validation and defect triage. Promote best practice in documentation, governance, and project delivery; contribute to continuous improvement within the programme. Build and maintain strong working relationships with stakeholders across Business, Technology More ❯

CI/CD tools such as Bitbucket, Bamboo, or Jenkins Strong understanding of Fixed Income products and E-trading systems such as Bloomberg, Tradeweb, MarketAxess, or ION Strong data validation and SQL skills Excellent communication, analytical, and stakeholder management abilities If you have a passion for automation, strong technical skills, and experience working with front-office trading systems, we would 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 ❯

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 ❯

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 ❯