1 to 25 of 69 Model Validation Jobs in the UK

Job Title: Model Risk Manager Job Purpose The Model Risk Manager is a member of the Model Risk Management Team at ICE Clear Europe (‘the firm’), a second line risk function, which facilitates setting risk boundaries and provides independent risk oversight to the business. It is proactive … uses models to measure, analyze and monitor counterparty credit risks, market risk, credit risks and liquidity risks arising from its first line functions. The Model Risk Management team is responsible for all aspects of financial risk as well as model risk, encompassing model validation, performance monitoring … the credit worthiness of counterparties considering financial statements, market data and other relevant information. Performing deep dive analysis in Market & Liquidity Stress Testing. Performing validation of pricing and risk models and writing high quality validation reports. Developing and maintaining analytics library used to support validation and on more »

a key programme Responsibilities can include concept studies, algorithm design and trade-off studies, trials preparation, trials analysis and reporting, architecture definition, algorithm and model validation You will be autonomous and will be able to act as a point of contact for your department’s interactions with the … other project teams e.g. Simulation and Modelling, Software, Hardware-in-the Loop, Systems Design & Validation and Technical Quality You will perform technical analyses and investigations into a full range of issues and problems along with preparing and developing solutions either individually or as a member of a project team more »

tenant satisfaction Working with data engineering to determine how we best represent network data within a graph database? What features can we detect and model from this? For example, in support of minisming repeating repair jobs at the same property. Generating forecasts from timeseries data using traditional (e.g., ARIMA … our interesting problems catalogue. Of course this includes an excellent familiarity with the data science process: experiment/hypothesis formation, data selection, feature engineering, model selection, sampling/cross validation, hyperparameter tuning, model performance metrics, effective code and notebook documentation. Experience of working in a Cloud environment more »

the type of attention to detail that ensures thoroughness in product deployments. Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources. Diversity is incredibly important to us. Research shows … as well as optimised training procedures (e.g. QLora & Adapters) Comfortable with the machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation more »

A premier trading firm based in London, known for their innovative approach and excellence in algorithmic and high-frequency trading. Their success is driven by talented teams and cutting-edge technology. They are seeking a highly skilled Quantitative Researcher to more »

deployment of ML and LLM solutions, from ideation and prototyping to production rollout and continuous improvement. - Establish best practices, standards, and processes for ML model development, validation, and production deployment, leveraging cloud infrastructure (AWS, Azure) and MLOps principles. - Develop and implement robust performance metrics and KPIs to measure … the following skills - Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques, with a deep understanding of algorithms, architectures, and model optimization. - Hands-on experience in building and deploying end-to-end ML solutions, from data ingestion and preprocessing to model training, evaluation, and … and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable ML model deployment. - Solid understanding of data privacy, security, and ethical AI principles, with the ability to design and implement robust data governance frameworks. - Excellent communication more »

algorithmic trading strategies, focusing on options Conduct quantitative research and strategy development Support trading desk with analytics across business lines Contribute to pricing framework, model validation, and regulatory compliance Candidate Profile: Proficiency in numerical methods including Monte-Carlo and Stochastic Calculus Extensive knowledge of derivative products, especially options … bonuses Comprehensive benefits package including healthcare, dental, vision, and retirement planning 30 days of holiday and free lunches when in the office Hybrid working model Regular company events and social activities Corporate and Social Responsibility program with charity fundraising matching and volunteer days more »

development needed to deliver effectively. Candidates should be operating at a VP/Director level currently with significant experience of corporate/wholesale credit model development and/or validation experience gained wither within a bank, regulator or consulting firm. Candidates without wholesale models experience will not be more »

has a proven track record of data transformation, using such tools as DBT with an understanding of data optimisation, data cleansing, data modelling, data validation and presenting the data in a visually appealing manner. This opportunity is perfect for someone with excellent communication skills, enjoys working as team and more »

Proficient in Revit, AutoCAD, Synchro 4D pro. Posses a high level of visualisation techniques (Framing, Colour, Contrast, Symmetry etc). Knowledge and use of model coding for planning purposes within the 3D and 4D model. Prior experience of, 3Ds Max and video editing software beneficial but not essential. Educational more »

collaboration Successful Candidates will be responsible for: Developing predictive models for experimental trials (for example, blast trials) The post analysis of trials data and model comparison Validation and Verification of trial and model results against requirements Training and development will be provided as required. Whilst not to more »

cell vehicle applications for established vehicle manufacturers and start-ups. Support the concept definition, design and development of the vehicle thermal management system using model-based design techniques. Using GT-Suite to develop, correlate and validate 1D models of HVAC systems, battery thermal management systems, fuel cell systems and more »

An ability to work as part of a team and with multiple stakeholders Desirable knowledge and experience for these roles are: Experience of FE model validation and updating Understanding of data acquisition and signal processing What Will You Get From Us? As part of our People Promise, AWE more »

Job Purpose The successful candidate will report to the Head of Model Validation. The purpose of the role is to act as the second line of defence on model risk and to validate the models used in the Bank. The role is an essential part of the Model Validation team. The team s remit covers all models including a wide range of pricing and risk models. The team is expected to look beyond checking the correctness of the model from a mathematical and implementation perspective. It is essential to provide a robust challenge to modelling … assumptions and to review market applicability issues and appropriateness of data and calibration. Key Responsibilities Model Validation focused on pricing models Validate cross asset class front office pricing and XVA models. Validate the models from a conceptual soundness and implementation perspective. Review the applicability (i.e. the strengths, weaknesses more »

Job Title: Model Risk Manager Job Purpose The Model Risk Manager is a member of the Model Risk Management Team at ICE Clear Europe ( the firm ), a second line risk function, which facilitates setting risk boundaries and provides independent risk oversight to the business. It is proactive … uses models to measure, analyze and monitor counterparty credit risks, market risk, credit risks and liquidity risks arising from its first line functions. The Model Risk Management team is responsible for all aspects of financial risk as well as model risk, encompassing model validation, performance monitoring … the credit worthiness of counterparties considering financial statements, market data and other relevant information. Performing deep dive analysis in Market & Liquidity Stress Testing. Performing validation of pricing and risk models and writing high quality validation reports. Developing and maintaining analytics library used to support validation and on more »

site visits. Key Responsibilities Lead the advanced modelling squad within the In Silico Biology Team, and be the point of contact and a role model for advanced modelling within the company. Maintain strong domain knowledge of leading omics' and big data computational methods Drive experimental design & modelling of deep more »

for a Capital Analyst to join the Actuarial function. Key responsibilities will include, supporting in the parameterisation and development of the capital models including model validation and data quality assessments and ORSA reporting. You will need: To be working towards your Actuarial Exams 2-3 years previous experience more »

You will be part of a company with over 350 years history and a truly global reach. You will need: Significant experience in quantitative model development or validation in market risk or counterparty risk.Experience developing with Python, R and ideally some exposure to C++.Strong awareness of simulation and more »

the job Reporting to the Senior Data & Analytics Lead, the BI Developer will be responsible for driving the direction and maintaining the business data model ensuring it aligns with business activities and processes. The role will work closely with key internal and external stakeholders in organising and creating a … data model that makes data and information accessible with appropriate channels of access controls. Fostering a relationship of trust and playing an advisory role in the use of data to improve business performance. The role will require playing a highly collaborative role by overseeing cross-functional data governance while … operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness more »

Business Work with risk managers to provide quantitative supports and analytical tools to investigate and understand markets risks, liquidity risks, counterpart credit risks, etc Model review, documentation and validation remediation to ensure compliance with the Model Risk Governance Framework Review and interpret results of on-going model performance tests (e.g. back testing) Develop and implement new quantitative models and pricing functions Work and coordinate with model validators in model validation/re-validation review process Prepare analyses for regulatory submissions of model changes and introduction of new modelsQuant Analysts must have more »

best practices. Responsibilities Collaborate with data scientists and data engineers to understand ML requirements, and design and develop ML pipelines for data pre-processing, model training, model evaluation and model monitoring. Manage builds, and configurations in production and pre-production environments on Azure provisioning Azure services requested … the Azure cloud environment, leveraging Azure Machine Learning services and tools. Develop automated ML workflows and implement CI/CD practices to ensure smooth model deployment and retraining. Model serving/inferencing from data apps like Streamlit and/or Dash Plotly or Flask, Angular applications. Experience in … designing & implementing key DevOps/MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments. Design, deploy and manage APIs for model serving and leverage external API's. Implement monitoring and logging systems to track model performance, detect anomalies more »

CONTRACT OPPORTUNITY Model Risk Management Senior Consultant Length: 6 months Key Responsibilities: Support the continuous development and implementation of the Model Risk Management Framework. Perform independent model validations (or annual model reviews) for various models, including stochastic models (IRB and non-IRB) and deterministic quantitative methods. … Validate models used for regulatory purposes such as ICAAP and ILAAP. Embed the Model Risk Management Framework, including model identification, attestation, validation, and monitoring. Identify areas of non-compliance and participate in the assessment of key model risks. Maintain and periodically review MRM policies, frameworks, and … instructions with relevant governance committees. Present validation and review work at the monthly Model Oversight Committee (MOC). Report on model risk-related matters to the Head of MRM and engage with stakeholders including model developers, owners, and users. Stay updated on regulatory developments and industry more »

managing a dedicated portfolio. This role will focus on retail and corporate credit risk provided expert advice in scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards. Our team is work together in collaboration to deliver a variety of assignment and … initiatives. You’ll be someone with 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 more »

Liaise with the underwriting department on review and interpretation of the modelling output, pricing of reinsurance of contracts and added analytics based on catastrophe model results Develop and improve the catastrophe modelling inputs and metric outputs used for reinsurance pricing Guiding efforts to improve data quality and leading model … opportunities for improved processes, develop specifications for solutions and liaise with departments to implement Adhoc project work assisting other departments, including post event analysis, model validation and experience rating studies Skills Required Experience in Catastrophe Modelling with comprehensive knowledge of AIR and/or RMS Good knowledge of more »

support the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. The role will support discovery and validation data analysis within a functional genomics and imaging team, with a sharp focus on generating novel target recommendations, validating them in models (including actual more »