13 of 13 Model Validation Jobs in Edinburgh

PATTERN: Hybrid, 40% (or two days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and … professional development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation and periodic reviews of AI and GenAI models, ensuring … robust, fair, explainable, and aligned with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model documentation to evaluate the soundness More ❯

analysis to assess and predict financial risks including input into regulatory processes/reporting. Provide regular reports and insights to senior leadership, highlighting emerging risks and their potential impact. Model Risk Management (including statistical, advanced AI/ML based techniques) - Formulation of guidelines/policy, laying down of roadmap, establishment of model risk governance including frameworks, validation … GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to More ❯

Join us as a Model Risk Validation Officer In this key role, you’ll undertake the validation of market risk models used for capital calculations and risk management, ensuring that models are managed within the requirements of the bank’s model risk policy and risk appetite You’ll ensure model limitations are identified, communicated to … stakeholders and effectively mitigated We’ll look to you to help develop, maintain and implement proportionate mandatory procedures for model validation activity You’ll gain great exposure for you and your work, with the opportunity to develop key relationships with colleagues across Risk and NatWest Markets What you'll do As a Model Risk Validation Officer … your main role will be the validation and review of models used within NatWest Markets to help ensure the bank’s models are managed within policy and appetite. By conducting thorough quantitative analysis, you’ll assess their performance and robustness. You’ll prepare comprehensive validation reports and documentation, supporting the delivery of bank wide policy and mandatory procedures More ❯

analysis to assess and predict financial risks including input into regulatory processes/reporting. Provide regular reports and insights to senior leadership, highlighting emerging risks and their potential impact. Model Risk Management - Formulation of guidelines/policy, laying down of roadmap, establishment of model risk governance including frameworks, validation, inventory management, attestations and optimization. Program/Delivery … GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to More ❯

invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group. … department functional experience. - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building. - Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results. - Strong communication More ❯

A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools More ❯

data-driven models Designing and implementing real-time analytics for monitoring grid stability Developing algorithms for energy market interactions, including bidding strategies Ensuring data quality and integrity for accurate model outputs The key experience we're looking for: A degree in Data Science, Computer Science, or a related field 5+ years of experience in applied data science and machine More ❯

reproducibility, traceability, and compliance with best practices. Using Azure and infrastructure-as-code tools (e.g., Azure Bicep, Terraform) you will automate and manage infrastructure for data pipelines, machine learning model training, and serving. Additionally, you will establish infrastructure and engineering patterns to feature engineering and reuse across suite of models. Developing workflows for model validation, testing, and More ❯

Job Description: The Opportunity We are currently recruiting to support the development of Active Electronically Scanned Array (AESA) Antennas for airborne platforms. This new opportunity has arisen in the Antenna Group at the Edinburgh site of Leonardo to support research More ❯

regression and classification challenges • Maintain, evaluate and improve existing models • Research and implement novel machine learning and statistical approaches • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation together with software engineering teams BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or More ❯

We're UserTesting, a leader in experience research and insights; we believe the path to human understanding and great experiences start with a shared understanding-seeing and hearing how another person engages with the world around them and taking in More ❯

execution, working closely with implementation teams, engineering, and the customer to ensure high-quality energy software systems. Key Responsibilities: Serve as the Technical Lead across projects, owning the Delivery Model and guiding multidisciplinary teams through solution deployment, configuration, integration, and testing. Build and manage effective Work Breakdown Structures, track activities, and provide progress updates to the Project Manager. Drive More ❯

execution, working closely with implementation teams, engineering, and the customer to ensure high-quality energy software systems. Key Responsibilities: Serve as the Technical Lead across projects, owning the Delivery Model and guiding multidisciplinary teams through solution deployment, configuration, integration, and testing. Build and manage effective Work Breakdown Structures, track activities, and provide progress updates to the Project Manager. Drive More ❯

candidates will be working on Fire Control Radar for combat aircraft. Proven ability in any of the following areas: Problem definition Systems Architecture Synthetic Environments Performance Modelling Verification and Validation System of Systems Domain specialisms, e.g. Digital signal processing RF systems Multi-sensor data fusion and tracking Real time data simulation/generation Additional Please note, due to the More ❯