51 to 75 of 658 Validation Jobs in London

used by front‐office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets. Develop robust data validation frameworks to improve the accuracy and reliability of derived data. Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected ...

through query tuning, execution plan analysis, indexing, and configuration improvements. Provide hands-on troubleshooting and resolution of complex production issues. Perform data reconciliation, integrity validation, and root cause analysis of data discrepancies. Manage database upgrades, patching, security, monitoring, and capacity management. Work closely with architects, developers, cloud engineers, and operational ...

communication mechanisms in kdb+ and integration with external systems. Experience tuning kdb+ systems for low latency and high availability. Familiarity with data quality checks, validation frameworks, and operational resilience patterns. Exposure to financial markets data (e.g. market data, trading, risk, or post‐trade workflows, equity asset class). Mandatory Mandatory ...

through query tuning, execution plan analysis, indexing, and configuration improvements. Provide hands-on troubleshooting and resolution of complex production issues. Perform data reconciliation, integrity validation, and root cause analysis of data discrepancies. Manage database upgrades, patching, security, monitoring, and capacity management. Work closely with architects, developers, cloud engineers, and operational ...

cases and acceptance criteria. Review proposed solutions to ensure they align with business processes, operational needs and industry best practice. Support data migration, data validation and data-quality activities where required. Assist with integrations between Smallworld and wider enterprise systems, including asset management, work management, outage management and network-modelling ...

drive the finance data strategy across key transformation programmes Lead data governance, standards and ownership across finance data domains Manage data cleansing, validation, mapping and migration readiness activities Track and report on data quality, completeness and programme readiness Partner with stakeholders across Finance, IT and the wider business to resolve ...

used by front-office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets. Develop robust data validation frameworks to improve the accuracy and reliability of derived data. Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected ...

need: Proven experience as a Test Manager delivering large-scale technology or business transformation programmes. Active SC Clearance Experience with Data Testing, including validation of data files, databases, tables, and outputs. Strong understanding of testing methodologies, including SIT, UAT, Non-Functional Testing, and Test Governance. Understanding of Azure, test automation ...

delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test acceleration, release readiness, incident/root‐cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

hazard, vulnerability, exposure, and financial modelling to ensure model accuracy and completeness Analyse large-scale observational and reanalysis datasets to support model development and validation Implement and maintain modelling code in high-performance computing environments where required Translate complex modelling outputs into actionable insights for internal stakeholders and external clients ...

design patterns, SOLID principles, microservice architecture and scalable service design. Strong experience developing REST APIs and integration patterns, including contract‐first API design, versioning, validation, error models and backward compatibility. Strong document database knowledge, preferably MongoDB, including schema design, indexing, aggregation, performance tuning, consistency trade‐offs and operational considerations. Strong ...

evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes in line with Model Governance and validation standards Partner together with stakeholders to respond to internal audit queries and manage remediation actions and findings Your skills and experience Advanced degree (Master ...

strategy, roadmap planning and innovation such as the integration of new tools, AI and ML Translate roadmap into phases of discovery, design, implementation, and validation, ensuring each phase has defined deliverables, owners, and timelines Define business logic and semantic layers for Awin's financial and business analytics Collaborate with ...

drives opportunities to enhance existing solutions or introduce innovation through the application of emerging technologies. Quality Assurance Defines and embeds appropriate testing and validation approaches for AI/ML solutions, including model evaluation and performance testing. Ensures that monitoring and benchmarking practices are in place so that models perform reliably ...

meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support. Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness. Architecture and technical leadership: Define solution architecture, engineering ...

governance, and lineage capabilities Ability to translate complex analytics into business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills in complex environments Qualifications Bachelor ...

solutions. Strong Salesforce administration, configuration, implementation, and development experience. Experience delivering large-scale Experience Cloud implementations. Expertise in Salesforce customisation, security models, workflow approvals, validation rules, and data management. Strong Apex development experience, including classes, controllers, triggers, Visualforce pages, and web services. Experience developing and supporting Salesforce integrations using REST ...

metadata management, data lineage) to ensure data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation, and continuous monitoring to ensure high data accuracy and reliability. Regulatory Compliance (Financial Services): In‐depth understanding of data‐related regulations and compliance requirements within ...

agents, and integration capabilities to technical evaluators and business leaders alike.## **What You’ll Be Doing:*** ## Manage Technical Deal Cycles: Lead the technical validation phase of the sales cycle, answering detailed RFPs, designing compelling solutions, building out standard integration topologies, and ensuring compliance with enterprise security and data privacy ...

. • Work with technical teams to ensure requirements are understood and delivered in line with agreed outcomes. • Support customer workshops, playback sessions and requirements validation activities. • Contribute to workflow diagrams, functional designs and business process documentation. • Work collaboratively with architects, consultants, developers, testers and change and enablement teams throughout implementations. ...

Implement testing, security scanning, policy compliance, and release gates. Support GitOps and platform engineering practices. Create automation for operational runbooks, self-healing processes, deployment validation, and environment consistency checks. Resilience, Disaster Recovery & Failover Design and implement highly available Azure architectures. Develop and maintain disaster recovery and business continuity capabilities. Implement ...

machine learning capabilities into enterprise applications. Own the end-to-end AI/ML lifecycle, including problem definition, data exploration, model development, validation, deployment, and monitoring. Develop forecasting models, segmentation strategies, optimisation algorithms, and early warning systems to support sales performance and decision-making. Collaborate with engineering, sales operations ...

integration across platforms. Analyse large data sets for anomalies or control gaps while maintaining data integrity across all surveillance and reporting systems. Support model validation processes including tuning machine learning models where applicable to enhance detection capabilities. Participate actively in change management activities such as system upgrades, patching cycles ...

Your role operates in a high-intensity, time-critical environment and requires the ability to maintain deep experience working with Quants, Market Risk, Model Validation, Finance, and regulatory stakeholders. Responsibilities: Have responsibility for and drive end-to-end delivery of the FRTB IMA programme, with full accountability for outcomes across ...

data lineage). Critical for ensuring data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation, and continuous monitoring to ensure high data accuracy and reliability. Regulatory Compliance (Financial Services): In‐depth understanding of data‐related regulations and compliance requirements within ...