1 to 25 of 59 Permanent Validation Jobs in the City of London

and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building price optimisation models Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer Science, Mathematics, Statistics or related 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 ❯

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 ❯

onboarding, training and development program established We have comprehensive documentation, with regular updating of key CDS procedures and processes There is well defined key processes and procedures, eg data validation and reconciliation processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics More ❯

in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with More ❯

databases (SQL and NoSQL), and common cloud platforms and architecture Experience with data structures, technical integrations, and capability mapping across complex systems Familiarity with common tools for testing and validation Agile Delivery Demonstrated skill defining clear roadmaps for technically sophisticated products Ability to define, monitor, and analyse key product metrics using data-driven insights to drive continuous improvement Experience with 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 ❯

like Power BI or Tableau Design and run efficient SQL queries to extract and manipulate data Develop and maintain BI tools and solutions to support decision-making Perform data validation and quality control to ensure integrity and accuracy Deliver ad hoc analysis and actionable insights to stakeholders Required Skills & Experience: 3+ years in a Data Analyst role within complex business 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 ❯

This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities Develop loss models More ❯

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 ❯

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 ❯

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 ❯

eliminate SIM or test equipment issue. • Ensure all testers have had appropriate driver training as per company policy. • Deliver clear, concise & timely communications to Reporting and Analysis teams confirming validation of data collected; highlight any kit issues or data that should be quarantined for analysis to determine its validity. • Review reporting output to ensure reports reflect data collection output. • SQL More ❯

and control expenditure thereof. To attend meetings as required. To prepare reports that include technical content and progress/key issue detail. To develop project specific commissioning management/validation documents and procedures. To comment technically on drawings, manuals and technical submittals. To develop project specific method statements, test scripts and the like. To be aware and report internally on More ❯

Product and Market Discovery Lead user research efforts, engaging directly with legal professionals and clients to understand their pain points and uncover opportunities for innovation. Conduct regular testing and validation of solutions through rapid prototyping and feedback loops, ensuring solutions truly meet user needs. Stay ahead of legal tech trends and competitive offerings, identifying potential opportunities for differentiation and continuous More ❯

mediation as well as great client facing skills. Precious experience of European or EMEA projects is a distinct advantage, My client does not do hands on commissioning, just the validation and verification. Primary Objective The primary objectives of our Director Data Centre Commissioning is to support the Managing Principal to drive the delivery of the financial targets, efficiently following the 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 ❯

from multiple legacy systems into NetSuite. Develop and execute a robust data cleansing strategy to ensure accuracy, consistency, and completeness across all acquired entities. Define data mapping, transformation, and validation rules in collaboration with internal stakeholders and external implementation partners. Ensure data integrity and compliance throughout the migration lifecycle. Manage project timelines, risks, and quality assurance processes related to data More ❯

from multiple legacy systems into NetSuite. Develop and execute a robust data cleansing strategy to ensure accuracy, consistency, and completeness across all acquired entities. Define data mapping, transformation, and validation rules in collaboration with internal stakeholders and external implementation partners. Ensure data integrity and compliance throughout the migration lifecycle. Manage project timelines, risks, and quality assurance processes related to data More ❯

systems (OSS/BSS) and data models, identifying areas for improvement or innovation. Run technical workshops and walkthroughs with cross-functional stakeholders. Use SQL and scripting tools for data validation and solution testing. Contribute to systems design, data modeling, and test case development. Support UAT, ensuring solutions align with business expectations. What You’ll Bring: 5–10 years of Business More ❯

within a high-security Defence environment, leveraging the customers existing solutions and requirements to define and transform technical solutions into actionable projects. Key Responsibilities: Assist in the development and validation of technical and business requirements . Identify and define quarantine solutions using Solutions Analysis & Architecture methodologies. Build a comprehensive understanding of tool and business process interactions . Map processes and 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 ❯

finance technology projects, offering subject matter expertise and supporting successful delivery within agreed timescales and budgets Lead the implementation of new features, system upgrades, and customisations, ensuring comprehensive testing, validation, and minimal disruption to business operations Support integration projects between Sage, Concur, and other business systems, working with the Software Engineering team and existing Workato platform Deliver training sessions for More ❯