1 to 25 of 75 Validation Jobs in Berkshire

About the Company A regulated financial markets firm bringing institutional standards to the rapidly evolving digital assets sector. Key Responsibilities Lead Quantitative Model Development: Oversee the creation, validation, and optimization of models for pricing Bitcoin index futures and options, ensuring accuracy, scalability, and regulatory compliance. Risk Management: Develop and refine risk models (e.g., VaR, Expected Shortfall, SPAN) to support trading More ❯

Center Power & Control Division in Reading, UK . As a member of the Test Engineering team, this position will support daily production testing of electromechanical assemblies through test program validation, operator training, technical support, and equipment maintenance. Perform engineering services as required for the development of custom and standard test equipment. Assist in the design of equipment, electronic hardware, and More ❯

performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align More ❯

development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit performance data to generate More ❯

machine learning and NLP models to process and analyse large volumes of legal and business text. Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical More ❯

Office skills Previous experience of testing and faulting finding to component level. This position in other companies can be referred to as Test Engineer, Senior Test Technician , Test and Validation Engineer or Test and Repair Engineer More ❯

Collaborate across departments to ensure full compliance and to strengthen the compliance function's technological capabilities. Maintain and optimize current regulatory reporting infrastructure. Design and uphold processes for data validation and quality assurance. Identify and implement process improvements that boost accuracy and efficiency. Provide technical support for regulatory technology systems. Engage with stakeholders to resolve compliance-related technical queries. Experience More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

accurate documentation, including process flows and specifications Supporting data analysis to provide insights and drive decisions Working closely with stakeholders, developers, testers, and project teams Assisting with testing and validation of new system changes Engaging in ongoing professional development and learning opportunities You’ll report to the Business Solutions Manager while also collaborating with other analysts across the team, contributing More ❯

accurate documentation, including process flows and specifications Supporting data analysis to provide insights and drive decisions Working closely with stakeholders, developers, testers, and project teams Assisting with testing and validation of new system changes Engaging in ongoing professional development and learning opportunities You’ll report to the Business Solutions Manager while also collaborating with other analysts across the team, contributing More ❯

team to define, implement and ensure continuous improvement of the following ITIL processes: Business Relationship Management Demand Management Design coordination Change Evaluation Change Management Release and Deployment Management Service Validation and Testing Plus actively support the IT team in Information Security Management KNOWLEDGE, EXPERIENCE, QUALIFICATIONS Bachelor's degree in computer science, business administration, or a related field. Proven industry experience More ❯

team to define, implement and ensure continuous improvement of the following ITIL processes: Business Relationship Management Demand Management Design coordination Change Evaluation Change Management Release and Deployment Management Service Validation and Testing Plus actively support the IT team in Information Security Management KNOWLEDGE, EXPERIENCE, QUALIFICATIONS Bachelor's degree in computer science, business administration, or a related field. Proven industry experience More ❯

are crucial elements of our antennas, and our FPGA firmware designers undertake the whole of the development process: from negotiation of requirements and initial design architecture, through to formal validation and verification of the design. The work is extremely challenging but incredibly rewarding. You will work within a small team of firmware engineers who are experts in their field. Although More ❯

operations and supporting effective change management Identifying opportunities for process improvement and contributing to continuous service enhancement Supporting ITIL-aligned activities such as demand management, release planning, and service validation Assisting with initiatives relating to Information Security and governance where required You’ll be expected to bring both technical knowledge and a people-focused approach to stakeholder engagement, always aiming More ❯

implementation and setup Cloud technologies in collaboration with technical leaders of the engineering teams. Develop and set up the automation tools (CI/CD) to support the development/validation/integration and deployment of cloud solution. Write guideline, installation guide, documentation, training materials to make the engineering team autonomous on those technologies. Support duties: Train the various engineering teams More ❯

appropriate legislation, including product safety, is performed correctly. Supporting engineering reviews and prepare associated technical documentation. Skills An understanding of the fundamentals of Systems Engineering methodologies around Design, Verification, Validation, Qualification and Acceptance. Experience deriving system capabilities, functionalities and behaviours, ideally using Model Based Systems Engineering & SysML approaches. Understanding of the different actors involved in projects with the ability to More ❯

re looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/ 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 ❯

and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures. Principal Accountabilities: Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness, and compliance with regulatory requirements (e.g., RDL/LCM). Analyse large datasets to extract insights related to More ❯

strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such as Tableau or Power BI Proven experience working with large datasets, including data cleaning and validation Excellent communication skills, with the ability to distil complex analytical insights for diverse audiences THE BENEFITS A competitive base salary of up to £90,000, alongside a range of benefits More ❯

Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days More ❯

day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND More ❯

as a Subject Matter Expert (SME) across IP, routing, switching, and network virtualization domains. Conduct peer reviews and provide technical oversight to junior engineers/designers. Engage in design validation, lab testing, and proof-of-concept activities. Troubleshoot and support network designs through deployment and into steady-state operations. Participate in design governance and approval forums. Essential Skills & Qualifications Extensive More ❯

and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related More ❯

implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems More ❯