23 of 23 Model Validation Jobs in Scotland

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 More ❯

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 … 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 More ❯

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 More ❯

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 … 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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 More ❯

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 deployment, fully integrated with CI/CD systems, while enhancing resource utilization, to enable distributed processing, and optimize workflows for scalability, including GPU/TPU acceleration. This is a fully remote role , working within the following time zone (UTC -1/UTC+3) with a diverse More ❯

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, inventory management, attestations, and optimization. Program/Delivery Management – Create project plans and coordinate with key stakeholders. Collaborate with stakeholders to integrate advanced analytics and machine learning into risk modeling processes. Desired Qualifications and Skills: Education: Bachelor’s or master’s degree in finance, economics … 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 More ❯

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 More ❯

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 … 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 More ❯

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 … 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 More ❯

problems. Collaborate with cross-functional teams to integrate ML models into production systems. Utilize PyTorch, Scikit-learn, NumPy, and Pandas for data analysis and model development. Develop and maintain APIs for model deployment and integration. Fine-tune large language models to enhance performance and accuracy. Apply deep learning … LSTMs and Transformers to relevant projects. Stay updated with the latest advancements in generative AI and implement innovative solutions. Conduct statistical analysis to support model development and validation. Required Qualifications, Capabilities, And Skills Formal training or certification on Data engineering concepts and applied experience cProven experience in building and More ❯

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 speciali click apply for full job details More ❯

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 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 ❯

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 ❯

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 ❯

working within a large team to achieve goals. Main Duties: Modelling, simulation, and assessment of navigation systems, especially during conceptual to prototyping phases. Supporting model-based design for APNT system conceptual modelling and prototype development. Assisting in the design of complex systems, particularly System-on-Chip. Candidate Requirements: Experience … with MathWorks tools such as MATLAB and Simulink. Strong analytical skills for solving complex problems. Understanding of modelling techniques and validation against real-world data. Experience in FPGA or embedded software design. Current SC security clearance or eligibility. Bachelor's Degree or PhD in Engineering, Physics, or related fields. More ❯

triaging, incorporating psychology-driven insights to improve system decision-making. Collaborate with the Psychology Associate and SAMH senior stakeholders to define evaluation metrics, validate model outputs, and refine AI recommendations based on real-world case scenarios. Work with senior stakeholders to deploy and integrate the AI system within SAMH … ensuring a seamless and sustainable implementation that meets both technical and clinical needs. Evaluate system performance in collaboration with the Psychology Associate, applying AI validation metrics, user testing, and stakeholder feedback to iteratively improve functionality and clinical relevance. Manage and undertake reporting to the steering group, funders, and key More ❯

/iOS devices. Manual and automated testing with tools like Appium , XCUITest , TestFairy . Data/ETL Testing Ensure accurate data flow, transformation, and validation in data pipelines. Work with SQL, Informatica , Talend , SSIS , Snowflake . Test models for accuracy, bias, and performance. Validate model predictions, fairness, and More ❯

new system Design and integrate new functionality into an existing sub-system in Simulink Collaborate with other engineers to design and prototype a detailed model of a system to understand observed simulated performance Design and prototype algorithms in Matlab, taking into account hardware limitations and constraints. Investigate the cause … if you have experience in any of the following areas: Systems Engineering specialisms, e.g. 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 Security More ❯