176 to 200 of 595 Model Validation Jobs in the UK

Join to apply for the Model Validation Specialist - VP role at Australian Investors Association 6 days ago Be among the first 25 applicants Join to apply for the Model Validation Specialist - VP role at Australian Investors Association Job ID: R0334750 Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2025-03-07 Location: London … Position Overview Job Title Model Validation Specialist Location London Corporate Title Vice President Model Risk Management (End of Day Pricing Model Validation). The team is responsible for the Validation of Pricing models used in production by the Investment Banking trading desk. It covers all asset classes. In addition, the team is responsible for … the validation of other models, like Reserve Methodologies, Fair Valuation Adjustments, the Liquidity Reserve Modelling etc. What Well Offer You A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. Thats why we are committed to providing an environment with your development and More ❯

as the successful candidate will help ensure the models we use are not only good for Monzo but what's best for our customers. The role will provide independent validation and oversight of models across critical business disciplines such as IFRS 9 (PD, LGD, EAD, macroeconomic models), ICAAP, Borrowing decisions and strategy. Strong data and analytical skills are a … Monzo’s Credit Risk (Risk and Compliance) and Data Team Our mission in the Risk and Compliance is to To help Monzo grow safely The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud and Finance to help Monzo grow safely. Our Data team 's mission is to Enable … heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): AWS for most of our backend infrastructure Perform independent model validation as part of our second line of defence Credit Risk teams and making sure the credit risk models are fit for purpose (including IFRS 9, NPV, Stress More ❯

is greater demand and scrutiny on models than ever before in financial services. We are looking for a Risk Analyst to join the team to support with the independent validation of economic crime, climate change, Treasury valuations and predictive AI models. The growing prominence of model risk management has led Nationwide to invest in the continuous improvement of … our modelling capability, highlighting the value placed on advances in this area. As part of this investment, a fantastic opportunity has become available in Model Risk Oversight, and we are seeking a talented person to become a member of a vibrant team. Our role involves ensuring that models used for decision-making are robust, reliable and compliant with regulations. … Key responsibilities include validating model performance, checking model assumptions are appropriate and assessing the risks associated with model errors. At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in More ❯

Risk Management - Model and Data Product Manager - Executive Director Risk Management - Model and Data Product Manager - Executive Director JPMorgan Chase & Co. London, United Kingdom Risk Management - Model and Data Product Manager - Executive Director Job Description Bring your expertise to JPMorgan Chase. As a Model and Data Product Manager in Climate, Nature and Social Risk (CN&S … Data and Model Implementation team, you will play a pivotal role in shaping our bank's approach to managing and advancing our analytical frameworks to address climate-related risks. This role requires a deep understanding of various climate models used in understanding climate risks and their linkages, offering oversight on the integration of these models, data requirements and analytical … work. You will have the opportunity to leverage your extensive experience in overseeing data and model development activities in a large financial institution or data solutions provider. This role will allow you to promote innovation in risk management, product development, and operational efficiency. Job responsibilities Lead the design and implementation of climate risk data and analytical frameworks to support More ❯

and frameworks used across the company’s data science organisation. Key Responsibilities: Design and deploy time series forecasting models with a strong focus on accuracy and scalability Improve existing model performance and drive innovation through new methodologies Develop internal ML and forecasting libraries using Python Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks … unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate DevOps-first approach for model deployment Skills & Experience: Strong background in statistics, machine learning, and time series forecasting Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms) Proficiency in writing production-level Python code Familiarity with CI/CD practices, testing … and model validation Confident working across teams and taking ownership of delivery Strong communication and problem-solving skills Experience in demand forecasting or operations research Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning Exposure to high-scale SaaS or B2C products Why Apply? Build forecasting systems powering global commercial strategies Collaborate with a world-class data More ❯

the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build … internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred More ❯

and global projects to implement changes in systems and regulations like Fundamental Review of the Trading Book (FRTB) Functional testing of P&L and risk management system upgrades and model implementations in cooperation with FO, Quants, and IT Supporting Model Development Quants in the development of models and methodologies and Model Validation quants in the validation More ❯

analysis. BXCI is seeking an Associate to help with building and maintaining complex cashflow models using the Intex platform, primarily focused on analyzing and valuing structured credit investments. Responsibilities: Model Development Designing, building and maintaining sophisticated cashflow models on the Intex platform Data Management Gathering, sanitizing and integrating large datasets from various sources into the Intex models to ensure … Risk Assessment Utilizing Intex models to perform comprehensive risk analysis on structured products Reporting and Analytics Generating detailed reports and presentations for stakeholders, including senior management and deal teams Model Validation Regularly reviewing and validating model performance Qualifications: Blackstone seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition … Experience with statistical languages such as R, Matlab, etc., a plus. Strong quantitative skills (e.g. stochastic calculus, numerical methods, Monte Carlo, etc.) Excellent writing skills and demonstrated commitment to model documentation Ability to build working relationships across various departments with individuals at different experience levels Ability to clearly communicate model results to a non-technical audience Blackstone is 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. Who we're looking for: Experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced … 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 ❯

for Prudential Valuation Adjustments on X-Value Adjustments (XVA) and Counterparty Credit Risk Stress Testing. The team works closely with Front Office, Credit Risk Management, other Strats teams, Finance, Model Validation to deliver efficient solutions for our stakeholders and improve the Counterparty Credit Risk management of the Bank. You will be analysing and understanding problems raised by stakeholders … defining model changes to address them and either implementing the solution directly or outlining the requirement to another team. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an … environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days More ❯

functions to help deliver the efficiency, control, and transformation goals of the Bank. You will be joining the Deutsche Bank Analytics (DBA) team in London. DBA is the pricing model package used across all divisions of Deutsche Bank for trading and the risk management of Cash and Derivatives in all asset classes of the Bank including Rates, Credit, Foreign … providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them. Competitive salary and non-contributory pension. … Your key responsibilities: Supporting pricing models for non-linear interest rate products. Documenting and testing new and existing models. Supporting the DBAnalytics library to Strats, Trading, Information Technology (IT), Model Validation and Finance. Your skills and experience: Experience in Financial modelling and derivatives pricing. Educated to University level or equivalent qualification/work experience (such as a Master 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 ❯

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 ❯

Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Strong professional interest in the fields of retail and corporate credit risk, scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards underpinning these areas. Significant credit risk experience gained ideally from a major financial institution, another professional services firm, or More ❯

analysis. BXCI is seeking an Associate to help with building and maintaining complex cashflow models using the Intex platform, primarily focused on analyzing and valuing structured credit investments. Responsibilities: Model Development Designing, building and maintaining sophisticated cashflow models on the Intex platform Data Management Gathering, sanitizing and integrating large datasets from various sources into the Intex models to ensure … Risk Assessment Utilizing Intex models to perform comprehensive risk analysis on structured products Reporting and Analytics Generating detailed reports and presentations for stakeholders, including senior management and deal teams Model Validation Regularly reviewing and validating model performance Qualifications: Blackstone seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition … Experience with statistical languages such as R, Matlab, etc., a plus. Strong quantitative skills (e.g. stochastic calculus, numerical methods, Monte Carlo, etc.) Excellent writing skills and demonstrated commitment to model documentation Ability to build working relationships across various departments with individuals at different experience levels Ability to clearly communicate model results to a non-technical audience The duties More ❯

advisor to clients from the outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): D&AI Strategy & Operating Model Design : Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that enable data democratisation. D&AI … consulting experience, client-facing, or equivalent tenure in relevant industries with a focus on data and AI initiatives. Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within … understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases More ❯

advisor to clients from the outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): D&AI Strategy & Operating Model Design : Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that enable data democratisation. D&AI … consulting experience, client-facing, or equivalent tenure in relevant industries with a focus on data and AI initiatives. Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within … understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases More ❯

advisor to clients from the outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): D&AI Strategy & Operating Model Design : Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that enable data democratisation. D&AI … consulting experience, client-facing, or equivalent tenure in relevant industries with a focus on data and AI initiatives. Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within … understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases More ❯

extraction/resolution, spatio-temporal modelling. Enjoy developing models from first principles and are unbiased in your choice of modelling techniques. Experience across some of the lifecycle of a model including requirements gathering, converting these into actionable tasks, model implementation, validation and deployment. Ability to conduct research, produce conceptual models, develop prototypes and mentor others in the More ❯

passion for building data pipelines, working with cloud technologies, and transforming raw data into actionable insights. You'll collaborate closely with experienced engineers and cross-functional teams to integrate, model, and maintain large datasets from multiple sources, ensuring data quality and reliability. You'll be involved in designing and optimising data workflows, supporting analytical and reporting initiatives, and contributing … help bring clarity to business decisions through high-quality, well-documented data processes. What you'll do: Develop and maintain ETL/ELT pipelines and data models Support testing, validation, and optimisation of data processes Work with cloud technologies (Azure preferred) and modern DevOps tools Collaborate with business stakeholders to understand data needs Create technical documentation to support transparency More ❯

and regulatory landscape, supporting the market activity monitoring teams both quantitatively and qualitatively, and ensuring a consistent framework across businesses. You'll work closely with the business, IT, finance, model validation and market activity monitoring teams. Key Responsibilities: Monitor the business activity and compliance with limits and mandate Analyse and report market risk exposure, understand the position to More ❯

data-driven solutions to real-world problems. A working knowledge of the state-of-the-art methods and best practices in data science, such as data preprocessing, feature engineering, model selection, validation, evaluation, and deployment. Ability to incorporate approaches from published academic papers into solutions/options. We will also be looking for a behavioural skillset that includes … or in head office functions. The prospects for career and personal development in this role are no exception. Our business continues to grow, through our historically effective organic recruitment model and in addition our recent acquisitions and commitment to international expansion. This business growth, alongside our continual striving to add more value from every function of the business creates More ❯

Researcher - Commodities Options Greater London, England, United Kingdom 1 day ago London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 2 weeks ago Quant Analyst - Exotics - Model Implementation and Validation Quantitative Researcher – Mid Frequency Crypto City Of London, England, United Kingdom £50,000.00-£60,000.00 3 weeks ago London, England, United Kingdom 1 week ago More ❯

You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of … forecasting algorithms, leveraging tools from operations research, statistics, and computer science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python GCP preferred Forecasting experience (nice to have) Data Scientist - Forecasting REMOTE We're looking for a Data Scientist to join a global … You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of More ❯

You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of … forecasting algorithms, leveraging tools from operations research, statistics, and computer science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python Pandas, Scikit-learn, NumPy GCP Forecasting experience (nice to have) Desired Skills and Experience Forecasting, Price Optimisation, Python, Pandas #J-18808-Ljbffr More ❯