151 to 175 of 609 Validation Jobs in London

and structured f unctional and non-functional requirements. Map out a s-is and to-be business processes and workflows to support digital transformation. Derive d ata analysis and validation efforts related to trade data, pricing, market exposure, and logistics. Collaborate with IT and development teams to validate solutions and ensure alignment with business objectives. Work independently and act as More ❯

process. Development of quantitative models for the evaluation of complex structured deals, support originators/traders in the development and implementation of trading strategies incorporating such models. Development and validation of quantitative models for use in transaction valuation and risk measurement within the Commercial Risk. Risk data management - Ensure data in Risk systems are accurate, complete and accessible. Risk Platform More ❯

process. Development of quantitative models for the evaluation of complex structured deals, support originators/traders in the development and implementation of trading strategies incorporating such models. Development and validation of quantitative models for use in transaction valuation and risk measurement within the Commercial Risk. Risk data management - Ensure data in Risk systems are accurate, complete and accessible. Risk Platform More ❯

Build strong relationships across the business, working with finance, IT, and vendors to resolve issues and align on priorities. UAT & Testing: Coordinate and support User Acceptance Testing and system validation activities. Change & Training: Create training materials, support user on-boarding, and contribute to change management planning to drive adoption. Reporting & Governance: Provide reporting and status updates to senior stakeholders, including More ❯

infrastructure-as-code practices. Collaborate with internal stakeholders to ensure the data platform design supports evolving business needs in a scalable and maintainable way. Implement and maintain data pipelines, validation logic, and quality assurance processes. Contribute to platform documentation and technical standards. There is potential for future responsibility in mentoring or overseeing junior team members. Required experience Hands-on experience More ❯

ML Platform - Build and evaluate models using SageMaker, Bedrock, Glue, Athena, and Redshift Knowledge Transfer - Create documentation and mentor teams on MLOps best practices Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance API Development - Develop secure APIs using Apigee for enterprise AI functionality access Automation - Build CI/CD pipelines using Jenkins and Maven for ML project More ❯

data, and models Improving inference compute utilisation through smarter serving Building CI/CD pipelines for ML workflows Solving complex job orchestration for model training Developing tooling for robust validation, monitoring, and recovery in production Were looking for engineers who thrive on complex, open-ended challenges and want to set new standards for ML infrastructure. You should have: Significant experience More ❯

business outcomes. Key responsibilities include: Designing and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising More ❯

business outcomes. Key responsibilities include: Designing and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising More ❯

new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - Experience with SQL and an More ❯

Experience with Avaloq: Familiarity with Avaloq's physical data layer is essential Knowledge of data quality frameworks: Understanding of profiling dimensions and industry-standard approaches (e.g., DQ checks, data validation rules) Nice to have Experience with Avaloq Reporting & Data Extracts (ARD, ADF, SmartView): Familiarity with Avaloq-specific data export or reporting mechanisms would help accelerate development. Knowledge of Oracle Database More ❯

new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India Machine Learning team works closely with the business and engineering teams More ❯

Vulnerability Management, managing partners and vendor deliverables, and developing a strategy for a world-class Vulnerability Management program. Your team will perform discovery scanning, risk assessments, mitigation activities, continuous validation, and lessons learned workshops to improve processes across Group Security and Verticals. We seek a diligent, dedicated, creative, and motivated individual with excellent communication skills, capable of building relationships with More ❯

team. Primary duties will include: Analyze and interpret complex transaction reporting requirements across multiple regulatory frameworks (EMIR, MiFID, SFTR, CFTC, etc.), with focus on field population, data transformation, and validation rules Develop and maintain comprehensive data mapping documentation and data lineage diagrams, tracking data flows and transformations across various systems and products Drive end-to-end investigation efforts to identify More ❯

decision-making. Design, build, and deliver group-wide reporting programmes , primarily using Power BI , aligned with leadership priorities and business strategy. Ensure data quality and governance , maintaining the accuracy, validation, and trustworthiness of insights used across the business. Provide executive-level analytics, including: Forecasting support to the CFO Strategic planning and hypothesis testing with the CEO Bespoke data support for More ❯

innovative and highly scalable ML models - Work closely with software engineering teams to drive real-time model implementations - Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance - Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master More ❯

requirements. Develop process maps and target operating models to enhance clarity and efficiency. Data analysis and definition, e.g. data-led insights, development ofdata dictionaries and data models. Supporting the validation of solutions delivered against acceptance criteria, through test planning, execution, coordination, etc. Partnering with Architects or Development teams to produce appropriate design specifications Continuously review and assess solution delivery to More ❯

best practices. Gather customer feedback to inform Bell's product development and go-to-market strategies. Sales & Business Development Support Collaborate with sales teams to drive technical discussions, solution validation, and deal closure. Support pre-sales activities by delivering compelling technical presentations and demonstrations. Assist in developing business cases, proof-of-concepts (POCs), and technical roadmaps for customers aligned to More ❯

international organization with offices in nine countries. Requirements Key responsibilities: Monitor and validate data services daily in our London office during European trading hours. Support colleagues in data collection, validation activities, and deliverables. Update the manager on progress daily and ensure smooth handover to London time zone. Assist with data management and quality, including preparing data for presentations and resolving More ❯

development. • Contribute to developing product concepts and prototypes and drive and deliver key tasks associated with it. • Partner with Product & Engineering partners and our CX&D team on concept validation and market testing and independently own and deliver key tasks associated with it. • Contribute/own business case development and planning for individual products. • Own and deliver high quality collateral More ❯

and Experience Cloud. Experience with Salesforce Industries Clouds, especially Communication Cloud. Deep knowledge of sales processes including lead, account, opportunity management, etc. Hands-on experience with Salesforce configuration, Flows, validation rules, etc. Knowledge of Einstein, Prompt Builder, and Agentforce. Excellent problem-solving and communication skills. Data-driven decision-making skills. Experience with Salesforce managed packages. Salesforce Sales Cloud certification required. More ❯

audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform More ❯

audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform More ❯

to gather and document business and functional requirements across deposit products, pricing, cash management, and treasury services. analyse current-state processes, conduct gap analysis, and support the design and validation of the Target Operating Model (TOM) that aligns with business, regulatory, and operational needs. Facilitate workshops and impact assessments, ensuring requirements are traced through to implementation and driving successful execution More ❯

to gather and document business and functional requirements across deposit products, pricing, cash management, and treasury services. analyse current-state processes, conduct gap analysis, and support the design and validation of the Target Operating Model (TOM) that aligns with business, regulatory, and operational needs. Facilitate workshops and impact assessments, ensuring requirements are traced through to implementation and driving successful execution More ❯