76 to 100 of 2,357 Validation Jobs in London

across all HR systems. Establish and maintain robust data governance standards, policies and controls. Monitor data accuracy, completeness and consistency through regular audits and validation activities. Ensure compliance with GDPR, data privacy requirements and company information security standards. Develop processes for data retention, archiving, access management and audit readiness. Produce ...

platform upgrades, releases and vendor-led enhancements. Manage troubleshooting, root cause analysis and platform optimisation activities. Support data migration initiatives including cleansing, mapping and validation exercises. Ensure platform security and permissions are effectively managed in a regulated environment. What We’re Looking For Essential Experience Strong experience with iRESS Xplan ...

Ability to translate business questions into analytical approaches and present insights clearly to both technical and non-technical stakeholders. Understanding of data quality frameworks (validation, profiling, anomaly detection). Preferred Qualifications and Experience Bachelor’s degree in Information Security, Computer Science, Statistics, Data Analysis, or a mathematics/information security ...

Factory)Monitor and troubleshoot pipelines to ensure high availability and performanceImplement robust error handling, logging, and alertingData Quality & GovernanceEnsure data quality, integrity, and consistencyImplement validation, testing, and monitoring frameworksWork with governance teams on data security, compliance, and policiesCollaboration & LeadershipPartner with Data Scientists, Analysts, and Product teamsMentor junior data engineers ...

stakeholder engagement.Ability to translate business questions into analytical approaches and present insights clearly to both technical and non-technical stakeholders.Understanding of data quality frameworks (validation, profiling, anomaly detection). Preferred Qualifications and Experience:Bachelor’s degree in Information Security, Computer Science, Statistics, Data Analysis, or a mathematics/information security ...

data entering datasets and polluting downstream data models. Database Development/Management: Supporting development and operation of databases that can be used for invoice validation/cost reconciliation/supplier portfolio management. Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant ...

sign-offsDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patternsApply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation valueMaintain ...

status updates, risk/issue summaries, and decision points to project leadership.Ensure business stakeholders understand how configured rules reflect their underwriting and pricing requirements.Testing, Validation, and GovernanceDefine and execute rule configuration testing, scenario testing, regression testing, and spreadsheet-to-Rulebook reconciliation.Validate Rulebook outputs against source Excel models, expected pricing outcomes ...

prioritize product requirements Interact with clients: presenting new features, gathering feedback. Partner with development to implement and refine features Assist QA with feature validation Partner with the documentation team to ensure accurate and complete product documentation Provide client beta testing support Assist implementation and support to resolve escalated client issues ...

stable, and scalable.Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality and delivery outcomes, while setting measurable validation standards (secure coding, peer review, automated testing) and encouraging reuse of proven patterns within the SDLC/TLM toolchain.Acts as a function-wide subject matter ...

where applicable, and UK PRA/FCA operational resilience requirements supporting xMoney.Build and maintain Compliance-as-Code capabilities — policy-as-code, automated control validation, continuous evidence collection, and monitoring integrated into CI/CD — so audit and supervisory readiness scales with the business rather than depending on manual, point ...

lead or significantly contribute to cross-functional projects.Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics ...

privacy controls to protect sensitive information. You will ensure compliance with relevant data regulations and implement data security measures (e.g. access controls, encryption) and validation rules so that the data used in AI is trustworthy and compliant.Metadata Management & Lineage: Implement frameworks for data metadata management and lineage tracking. This includes ...

sophisticated data quality tooling and frameworks to ensure the integrity, accuracy, and reliability of data throughout the acquisition pipeline Architect and implement comprehensive data validation mechanisms, automated quality monitoring systems, and remediation processes that maintain the highest standards of data excellence Drive technical initiatives that ensure our data infrastructure remains ...

within embedded initiatives, setting engineering standards, guiding Applied AI Engineers and business teams, and making sound architecture and integration decisions within agreed guardrails. Testing, validation and quality assurance: Plan and execute functional, regression and edge-case testing, including failure scenarios, fallback paths, escalation triggers and data quality checks. Assess when ...

retirement. Establish an AI first approach in problem solving and solution provision including building prototypes for client, sales and trading workflows. Oversee product testing, validation, and quality assurance processes. Stay abreast of industry trends, technological advancements, and regulatory changes in the FX market. Represent the firm at industry conferences, seminars ...

scale.Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures.Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment.Good foundation in statistics, probability, optimization, experimentation, and applied machine learning.Advanced proficiency in Python and modern AI frameworks, including ...

LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures**.* Hands-on experience with **LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment**.* Good foundation in **statistics, probability, optimization, experimentation, and applied machine learning**.* Advanced proficiency in Python and modern ...

PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g. ...

critically evaluate model performance in a business contextExperience designing measurement frameworks that prove genuine incremental valueSQL proficiency; Python or R for data exploration, model validation, and decisioning diagnosticsHands-on automation experience — trigger-based journeys, event-driven architecture, consent managementSolution-oriented and proactive — you define the path forward, raise issues early ...

model developers, and subject matter experts to ensure that data analyses and tools effectively inform analytical decisions. Work closely with the Model and Criteria Validation group to ensure a high-quality product. Write clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy ...

Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial services regulations and compliance , including GDPR. Excellent stakeholder management ...

integration of data services within the cloud infrastructure. Develop data models and schemas to support efficient data storage and retrieval. Implement data quality and validation processes to ensure the accuracy and consistency of data. Optimize data processes and queries for performance and scalability. Collaborate with business stakeholders to understand their ...

automate testing for blockchain applications and decentralized systems.Responsibilities:Own the automation of Web3 wallet workflows, addressing complex testing challenges such as wallet integrations, transaction validation and end-to-end blockchain interactionsDevelop and execute comprehensive test plans and test cases for smart contracts, transactions and wallet integrations workflowsCollaborate with developers, product ...

processes to integrate data from various internal and external sources. Ensure the accuracy, consistency, and reliability of data by implementing rigorous data cleaning and validation procedures. Design and optimise data pipelines to facilitate efficient data flow and processing. Manage and organise large datasets to support business intelligence reporting and analysis. ...