1 to 25 of 43 Remote Model Validation Jobs in England

a career move that will put you at the heart of a global financial institution? Then bring your skills and or experience in either model development or validation to Citi's Model Risk Management team that focus on validation of Equity & Hybrids derivative pricing models for … to our clients by responsibly providing financial services that enable growth and economic progress. Role Overview This position will be responsible for validating and model risk management of Equity & Hybrids derivative pricing models for Trading and Hedges. This position requires strong derivative pricing skills along with relevant industry experience. … Validation work will involve reviewing model assumptions, verifying the mathematical formulation, independently implementing the business/desk model when needed, developing benchmark models to conduct effective challenge, and assessing and quantifying model limitations to inform stakeholders of model risk to determine compensating controls. What you More ❯

largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Position Overview Corporate Title AVP You will join the Model Risk Management (MoRM) team which provides oversight and governance for senior managers of model analytics and their implementation into the risk architecture that … drive valuation, risk, and stress results. Model Validation as part of MoRM is responsible for the review and analysis of all pricing models used for valuation and risk across the bank. What we’ll offer you A healthy, engaged and well-supported workforce are better equipped to do … 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 More ❯

Corporate Audit Services (CAS) performs operational audits in the area of Model Risk with a dedicated Models team. As part of this team, an Audit Supervisor Specialist plays a key role in providing assurance on Model Risk, with a worldwide coverage, and across all risk and business domains. … The Team You will be located in Amsterdam within the Model Risk audit team, working in hybrid mode between home and the office. International audits are performed as a joint effort between local audit teams and central model risk experts. This team is part of the CAS Risk … supported and innovation is stimulated. Roles and responsibilities As an Audit Supervisor Specialist for Market Risk you are a Subject Matter Expert in multiple model (risk) related domains. You are responsible for performing model audits and contributing to model audit strategy development (including (agile) execution, and data More ❯

assessment in our stress tests. What you'll do Design models and approaches to their deployment, enhance reporting and provide intelligent insight into what model outputs mean. Ensure all models deployed are validated and overlays processed in compliance with Citi's model risk policies. Manage model risk … across the model life-cycle including model validation, point-of-use analysis, ongoing performance evaluation and annual model reviews. Innovate and develop new analytics, automation, intelligent insight and reporting used to manage capital and liquidity risk for Citi's branches and subsidiaries - all with a view … Use data science and real-world risk experience to deliver intelligent insight in a controlled environment. Work to triage and translate local requirements into model development, tracking change through the end-to-end lifecycle and deployment of new capabilities. Communicate results and insight to diverse audiences across geographies, business More ❯

and its application to risk management in banking You will have strong Wholesale IRB background (essential) with hands-on experience in IRB credit risk model development, and a strong understanding of IRB approval process and existing regulations are a must, along with familiarity with both local and relevant international … regulations within financial services e.g. PRA/ECB supervision Possess hands-on experience in Wholesale IRB credit risk model building and/or validation (i.e., beyond audit or review activities) - the interview process will involve a deep dive into the technical knowhow of modelling, validation techniques and … Spain, Middle East, Netherlands, South Africa, my client is a boutique firm with a demonstrable focus around Credit Risk Management, modelling, data analytics and model validation etc. Working with a range of innovative, ambitious, growing and forward-thinking Financial Services businesses, my client differentiates itself from the larger More ❯

and its application to risk management in banking You will have strong Wholesale IRB background (essential) with hands-on experience in IRB credit risk model development, and a strong understanding of IRB approval process and existing regulations are a must, along with familiarity with both local and relevant international … regulations within financial services e.g. PRA/ECB supervision Possess hands-on experience in Wholesale IRB credit risk model building and/or validation (i.e., beyond audit or review activities) - the interview process will involve a deep dive into the technical knowhow of modelling, validation techniques and … Spain, Middle East, Netherlands, South Africa, my client is a boutique firm with a demonstrable focus around Credit Risk Management, modelling, data analytics and model validation etc. Working with a range of innovative, ambitious, growing and forward-thinking Financial Services businesses, my client differentiates itself from the larger More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

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 … 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 … 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 More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. This is an initial 6 month contract. Job Responsibilities More ❯

strong analytical mindset and prefer working behind the scenes with data Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director) Creating clear and … presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply! Alternatively, you can refer a friend or colleague More ❯

strong analytical mindset and prefer working behind the scenes with data Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director) Creating clear and … presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply! Alternatively, you can refer a friend or colleague More ❯

strong analytical mindset and prefer working behind the scenes with data. Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director). Creating clear … Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS). Experience with model validation, diagnostics, and performance metrics. Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects. The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

experience with classical ML and modern techniques, including deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database More ❯

utilised across all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security More ❯

role requires some knowledge of Price Risk processes covering inventory, valuations, front-to-back controls, market risk processes (Value-at-Risk VaR, Stress-testing), model risk (including model methodology and validation), product control (P&L explain), IPV (Independent Price Verification) and end to end governance. Successful execution … in class target state, as well as a set of practical actions to achieve. The workstreams range from frameworks with a focus on operating model, risk and controls, methodologies, data and data controls, front office valuations and controls, various market risk related workstreams to P&L attribution analysis (PAA … issues and collaborate with stakeholders to generate solutions Work with Control and Internal Audit stakeholders to ensure credible challenge throughout the remediation process and validation of results in line with Citi's Internal Audit requirements Present on status of the program to senior stakeholders within Citi Qualifications & skills More ❯

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 More ❯

to support generative AI workflows and large language models (LLMs) in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle … from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM) operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based … handling sensitive data. Evaluate and integrate MLOps tools (MLflow, Kubeflow, etc.) to enhance efficiency. Implement monitoring and alerting systems to detect anomalies and maintain model reliability. What We’re Looking For 3+ years of experience in software engineering, infrastructure, or MLOps roles. Proven expertise in building and maintaining ML More ❯