1 to 25 of 65 Validation Jobs in the City of London

Implement and document security best practices and internal engineering standards. Monitor event-driven systems and trading flows for reliability and latency. Write and optimize SQL queries for data retrieval, validation, and analysis. Requirements Degree in Computer Science, Engineering, Mathematics, or Physics. Demonstrable interest in technology, automation, and system reliability. Strong knowledge of Python and Bash for scripting and automation. Good 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 ❯

Develop data models, mapping documentation, and migration plans for legacy-to-new system transition. Data Migration & Integration Lead the end-to-end data migration process, including extraction, cleansing, transformation, validation, and loading. Ensure data integrity and consistency across HR modules such as Core HR, Payroll, and Talent. Coordinate with technical teams to manage integrations with other enterprise systems. Data Quality 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 ❯

with enterprise architecture, cloud strategy, and regulatory standards. Produce high-quality documentation including user stories, process flows, functional and non-functional requirements, and impact assessments. Assist in test planning, validation, and acceptance criteria to ensure smooth migration and successful programme delivery. Contribute to programme governance with status updates, RAID management, and stakeholder reporting. Skills & Experience Proven experience as a Business More ❯

with enterprise architecture, cloud strategy, and regulatory standards. Produce high-quality documentation including user stories, process flows, functional and non-functional requirements, and impact assessments. Assist in test planning, validation, and acceptance criteria to ensure smooth migration and successful programme delivery. Contribute to programme governance with status updates, RAID management, and stakeholder reporting. Skills & Experience Proven experience as a Business More ❯

workshops and process definition sessions across underwriting, policy, and claims functions. Conduct impact analysis and manage change requests throughout the delivery lifecycle. Support testing, defect triage, and end-user validation during UAT and go-live phases. Ensure compliance with Lloyd’s/London Market standards, workflows, and regulatory frameworks. Skills & Experience: Proven experience as a Business Systems Analyst on Guidewire 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 ❯

delivery. Key Responsibilities Model Development and Implementation Develop predictive models across key areas such as credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through robust validation and auditing processes. Evaluate and document scorecard effectiveness, monitoring performance to ensure ongoing relevance and compliance. Analytics Design and conduct experiments to test hypotheses and inform decision-making, defining expected More ❯

delivery. Key Responsibilities Model Development and Implementation Develop predictive models across key areas such as credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through robust validation and auditing processes. Evaluate and document scorecard effectiveness, monitoring performance to ensure ongoing relevance and compliance. Analytics Design and conduct experiments to test hypotheses and inform decision-making, defining expected More ❯

5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data profiling, cleansing, and validation Excellent communication and organisational skills What’s on Offer: Competitive salary Hybrid working (a few days a week in Central London) Exciting opportunity to be part of a global data More ❯

5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data profiling, cleansing, and validation Excellent communication and organisational skills What’s on Offer: Competitive salary Hybrid working (a few days a week in Central London) Exciting opportunity to be part of a global data More ❯

low-code/no-code solutions. Solution Design: Partner closely with the development team to ensure the proposed solutions are technically feasible, scalable, and aligned with strategic objectives. Testing & Validation: Develop and execute test scenarios to validate solution functionality and ensure business needs are met. Stakeholder Engagement: Act as a trusted liaison between business users and technical teams, managing expectations More ❯

low-code/no-code solutions. Solution Design: Partner closely with the development team to ensure the proposed solutions are technically feasible, scalable, and aligned with strategic objectives. Testing & Validation: Develop and execute test scenarios to validate solution functionality and ensure business needs are met. Stakeholder Engagement: Act as a trusted liaison between business users and technical teams, managing expectations More ❯

dataset specifications. Develop, validate, and document SAS programs for datasets, TFLs, and macros following best practices. Identify and resolve data issues, outliers, and standards discrepancies. Review and approve CDISC validation tool reports. Stay updated on emerging standards and their impact on trials. Maintain audit-ready study master file documents. Provide technical leadership and mentorship to team members. Line manage statisticians More ❯

the V-model. Liaise with suppliers, software developers, and subcontracted integrators to ensure coherent system delivery. Produce and maintain system-level documentation, interface definitions, and design artefacts. Support verification, validation, and acceptance testing, including customer demonstrations and trials. Work collaboratively with design and software teams to align technical solutions with customer requirements. Candidate Profile This role is ideally suited to More ❯

Key Responsibilities Capture, refine, and document business requirements with precision. Manage projects through full lifecycle — from analysis and design to delivery and rollout. Enhance trade lifecycle controls and strengthen validation processes. Act as the link between Front Office, Operations, and Technology, ensuring alignment and timely execution. Build strong relationships with stakeholders, managing expectations across multiple business lines. Core Skills & Experience More ❯

Postman, Playwright, k6) LLM behaviour testing, including misuse and injection detection CI/CD integration with Azure DevOps for continuous testing Python/YAML scripting for scenario and agent validation Remote Working Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop) This is a new and exclusive More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay curious, research new methods, and More ❯

support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay curious, research new methods, and More ❯

strategic business goals. Key Responsibilities Act as product and initiative manager within an agile pod, ensuring clarity of requirements across product, engineering, and cross-functional stakeholders. Lead testing and validation with internal and external clients to ensure product readiness ahead of market launch. Define and manage Objectives & Key Results (OKRs) , ensuring measurable progress against business outcomes. Oversee quality and compliance More ❯