126 to 150 of 662 Model Validation Jobs in the UK

in advanced analytics, quantitative finance, and technology advisory for leading institutions across capital markets. The firm partners with clients to design and implement high-impact solutions in electronic trading, model development, and risk management. Leveraging deep domain expertise and cutting-edge technologies, it delivers tailored strategies that enhance performance, reduce complexity, and support regulatory alignment across the financial services … join a specialized consulting team tasked with designing and delivering quantitative trading and risk solutions for clients in global interest rate markets. This role involves leading engagements focused on model development, system architecture, and algorithmic design for pricing and electronic trading. Through deep collaboration with client stakeholders, the consultant will drive impactful outcomes by applying quantitative rigor and engineering … Translate technical outputs into actionable insights for both technical and non-technical stakeholders. Support project scoping, planning, and prioritization in alignment with client objectives. Assist clients in enhancing their model governance frameworks through technical review and effective challenge. Advise on best practices in model development, validation, and documentation across trading and risk domains. Guide clients in aligning More ❯

large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders. Campaign Optimization: Provide insights to improve media buying strategies, including channel allocation and … budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills: Ability More ❯

models for the equity derivatives business, covering equity flow products, equity structured & hybrid products, quantitative index, and strategies business. Key Responsibilities: Documentation, testing, and improvements of an internal risk model owned by the QA Equity & Hybrid Products team, feeding the Credit Valuation Adjustment (CVA) for products sensitive to implied volatility dynamics (e.g., Corridor Variance Swaps). Liaise with Front … Office, Technology, and Model Validation teams to deploy the risk model to production. Key Skills & Experience: Master's or PhD in Mathematics, Computer Science, or related field preferred. Mathematically inclined with knowledge of financial mathematics and ability to program numerical algorithms in C++. Experience in Front Office & Derivatives modeling. Theoretical knowledge of financial engineering/structuring and More ❯

for the equity derivatives business. It covers equity flow products, equity structured & hybrid products, quantitative index and strategies business. Key Responsibilities: * Documentation, Testing and improvements of an internal risk model, which is owned by The QA Equity & Hybrid Products team and feeds the Credit Valuation Adjustment (CVA) for products sensitive to future implied volatility dynamics (e.g Corridor Variance Swaps … . * Liaise with Front Office, Technology and Model Validation teams, to deploy the risk model to production Key Skills & Experience: * Ideally possess a Masters or PhD in Mathematics/Computer Science or related field * Mathematically minded (knowledge of financial mathematic, ability to program numerical algorithms in C++): * Experience in Front Office & Derivatives modelling * Theoretical knowledge of financial More ❯

role in delivering outstanding work for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain Theory's approaches and beliefs. … Training Academy , where you will gain technical skills and knowledge of our working practices and methodologies. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets to ensure that each KPI … Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables entered More ❯

problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI models. Collaboration and Stakeholder Management … with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python … for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI models. Collaboration and Stakeholder Management … with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python … for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI models. Collaboration and Stakeholder Management … with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python … for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI models. Collaboration and Stakeholder Management … with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python … for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

people. As a Gain Theorist, you will demonstrate behaviours supporting our values. You will support senior colleagues in delivering client projects efficiently, including data collection and preparation, contributing to model finalisation, writing results and implications, and SFX creation. Your role as Principal Analyst involves overseeing other analysts and supporting their development through the Training Academy, Knowledge Shares, and feedback. … What is the long-term effect of my marketing and why?”, or “Dealing with uncertainty and building in foresight.” Key responsibilities include: Working with data: Data extraction, manipulation, analysis, validation, batch files, programming Undertake data extraction, manipulation, and analysis relevant to each project. Ensure KPIs are understood and explainable to the team. Check all tables, charts, and outputs for … Sysomos, Google Trends, Analytics, Double Click) and the ability to teach others. Proficiency in Excel, SQL, Python, Pandas, Analytics Workbench; working towards expert knowledge in these tools. Building Models: Model building, validation, sales effects, ROIs, media optimisation Oversee or build comprehensive base models per project specs, understanding variables and coefficients. Improve and finalise models, assessing robustness and validity. More ❯

Data Solution Consultants specializing in Advanced Data Solutions focus on: Translating business challenges into data driven solutions. Consulting on predictive modeling approaches and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in marketing and customer experience. Bridging communication gaps between technical … learning algorithms, and statistical analysis. Experience with translating business problems into data science solutions. Hands-on experience with data science tools and programming languages (e.g., Python). Understanding of model development, validation, and deployment processes. Experience with data visualization and communicating insights to non-technical audiences. Knowledge of marketing applications of data science (e.g., customer segmentation, propensity modeling More ❯

Data Solution Consultants specializing in Advanced Data Solutions focus on: Translating business challenges into data driven solutions. Consulting on predictive modeling approaches and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in marketing and customer experience. Bridging communication gaps between technical … learning algorithms, and statistical analysis. Experience with translating business problems into data science solutions. Hands-on experience with data science tools and programming languages (e.g., Python). Understanding of model development, validation, and deployment processes. Experience with data visualization and communicating insights to non-technical audiences. Knowledge of marketing applications of data science (e.g., customer segmentation, propensity modeling More ❯

you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified … You will: Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models. Design and implement metrics for model validation and continuous monitoring in production. Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies, Build cloud tooling and infrastructure in More ❯

positions, systems, models, data inputs and pricing sources to ensure completeness, accuracy and validity of prices and margins. With Market Risk, research various instruments and margining methodologies and risk model parameters. Analyse and provide recommendations to improve the processes and procedures for ensuring accurate, daily mark-to-market of customer and company positions. Contribute to testing, maintenance, and implementation … of new risk models and systems. Carry out periodic and ad-hoc risk analytics on clients, trading books, and products to inform risk-management decisions Participate in risk model validation reviews with other risk, back-office and front-office personnel or groups. Participate in new product/system reviews and represent the Risk Valuation group point of view. More ❯

can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you’ll do in the role: You’ll be a leader within a cross-functional delivery team, working closely … A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new More ❯

on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at … and business problems into scalable ML pipelines using state-of-the-art techniques. Collaborate with cross-functional teams including data scientists, biologists, chemists, clinical researchers, and software engineers. Drive model interpretability, scalability, and reproducibility in high-stakes biomedical applications. Drive technical decision-making around architecture, model development, and data integration. Champion best practices in MLOps, model validation More ❯

Social Responsibility and Wellbeing. If you want to find out more about life at Paysafe, check out our careers page here. How we work: We follow a hybrid working model, spending an average of three days per week at our office located in Gresham Street next to St Paul's cathedral with easy access and transport links via St … emerging fraud trends. Conducting analysis of fraud and money-laundering trends and risk controls between Consumer, Merchant and Crypto areas. Collaborating with the Machine Learning team to drive a model-first culture, leveraging data-driven models to enhance risk detection and decision-making. Being the point of contact for cross-functional teams, including Product, Engineering, Sales and Finance, to … of antifraud solutions/risk systems/device fingerprinting and CRM/case management tools. Knowledge about cyberthreats (e.g., malware, ransomware, botnets, exploit rootkits). Knowledge of machine learning model validation, swap population review, deployment. Any of the below will be an advantage: Knowledge of cards, chargebacks, collections, schemes, prepaid products, gift cards, crypto market. High attention to More ❯

machine learning 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. Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics More ❯

you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified … You will: Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models. Design and implement metrics for model validation and continuous monitoring in production. Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies. Build cloud tooling and infrastructure in More ❯

you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified … You will: Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models. Design and implement metrics for model validation and continuous monitoring in production. Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies, Build cloud tooling and infrastructure in More ❯

A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new More ❯

or wastage risks. Build and iterate on AI-powered decision support tools to optimize inventory management and buying policies. Design and execute experiments (A/B tests) to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze … as Mathematics, Statistics, Computer Science, Data Science, or Engineering. Benefits: Comprehensive medical and dental insurance. Equity participation through company shares/RSUs. Annual bonus tied to performance. Hybrid work model (3 days in office, flexible remote days). Exclusive employee discounts. Clear path for career progression in a high-impact, data-first team. Annual performance reviews and merit-based More ❯

or wastage risks. Build and iterate on AI-powered decision support tools to optimize inventory management and buying policies. Design and execute experiments (A/B tests) to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze … as Mathematics, Statistics, Computer Science, Data Science, or Engineering. Benefits: Comprehensive medical and dental insurance. Equity participation through company shares/RSUs. Annual bonus tied to performance. Hybrid work model (3 days in office, flexible remote days). Exclusive employee discounts. Clear path for career progression in a high-impact, data-first team. Annual performance reviews and merit-based More ❯

or wastage risks. Build and iterate on AI-powered decision support tools to optimize inventory management and buying policies. Design and execute experiments (A/B tests) to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze … as Mathematics, Statistics, Computer Science, Data Science, or Engineering. Benefits: Comprehensive medical and dental insurance. Equity participation through company shares/RSUs. Annual bonus tied to performance. Hybrid work model (3 days in office, flexible remote days). Exclusive employee discounts. Clear path for career progression in a high-impact, data-first team. Annual performance reviews and merit-based More ❯

or wastage risks. Build and iterate on AI-powered decision support tools to optimize inventory management and buying policies. Design and execute experiments (A/B tests) to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze … as Mathematics, Statistics, Computer Science, Data Science, or Engineering. Benefits: Comprehensive medical and dental insurance. Equity participation through company shares/RSUs. Annual bonus tied to performance. Hybrid work model (3 days in office, flexible remote days). Exclusive employee discounts. Clear path for career progression in a high-impact, data-first team. Annual performance reviews and merit-based More ❯