26 to 50 of 59 Permanent Model Validation Jobs in England

/or validating credit risk models, with at least 1 year in a consulting role. IRB Expertise: Deep understanding of operational tasks for IRB model development and validation. Regulatory Knowledge: In-depth knowledge of current IRB regulations, with experience in related areas like IFRS 9. Valuation models and modelling more »

Senior Catastrophe Modeller - Cat Model - Exposure Management - London - Up to £130,000 I am currently working with a World Leading Insurance company who are looking for a Senior Catastrophe Modeller to join their team in London! Responsibilities: Spearhead advancements in analytics automation and the delivery of new reporting processes. more »

inventions every year for customers in over 100 countries. As part of the Electrical Verification Team, you will be involved in the verification and validation of the power system, conducting analysis, and performing calculations to support the maturity and design of the electrical platform. Main Responsibilities: Conducting load flow 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 »

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 »

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 »

risk management, and derivatives valuation services. The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. The Quant Contract Languages (QCL) team works at the intersection of functional programming and derivative modelling. It develops BLAN, a domain-specific language more »

delivering project work under limited or no supervision; including a working knowledge of key design software packages and an understanding of how to implement model validation on these packages. You will be actively working under a recognised professional Institution training pathway. Above all the right fit will be more »

maintaining predictive models in production-level systems is advantageous. Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model performance. A deep understanding of the different types of bias when that can arise and approaches that can be taken to address these. Experience more »

civil aircraft fuel systems however, M&S knowledge applied to products in related sectors will also be considered. Development of system qualification plans and model management plans. The team will provide support to the creation of these plans when needed. Development and maintenance of existing fuel system models but 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 »

Data Scientist working in credit risk will involve growing and demonstrating your skills in a number of key areas, including but not limited to Model development. Explore building innovative new modelling methods into our training pipeline to increase the predictive power and flexibility of our credit risk models. Take … responsibility for the full lifecycle of a model, including training, validation, deployment, and performance monitoring. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are being consumed appropriately and to ensure that model interdependencies are accounted for. Model-driven 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 »

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 »

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 »

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 »

Data Scientist Opportunity in London Position Overview: Join our dynamic team in shaping the data strategy for a prominent European retail chain. We're seeking a proactive and adaptable Data Scientist who is passionate about leveraging data science to address 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 »

AWE are currently recruiting for a Material Model Developer to join their Materials Physics Group, to exercise and improve capability in understanding nuclear warhead safety, performance, effectiveness, and national nuclear security through scientific research, modelling, and assessment. Location: Aldermaston, West Berkshire . We are located between Reading and Basingstoke … conditions and develop models that can be applied to simulate the behaviour of nuclear warheads. This specific role will require the candidate to undertake model implementation and simulation with explicit finite element codes, performing simulations of relevant dynamic experiments to validate strength and damage models suitable for capturing the more »

and the design and implementation of processes and tools; + Understanding & interpreting business or technical requirements and translate these into defined system models + Validation & Verification planning as necessary to derisk end delivery. + Engage with relevant stakeholders to establish consensus on viability of solution options and the associated … scientific or technical-based discipline. + Knowledge of architecture methodologies, standards, frameworks and tools (preferably TOGAF/Archimate) + Experience in the application of Model Based Systems Engineering (MBSE) + Requirements elicitation & management. Experience in agile methodologies a bonus. + Configuration management & baseline development through lifecycle + Appreciation of more »

large-scale financial institution.Practical experience with development and implementation of market risk methodologies and frameworks.Knowledge and practical experience of all aspects (SA & IMA) of model development and validation.Understanding of the QIS (Quantitative Impact Study) for FRTB, experience in coordinating data collection and analysis in line with this would be … working for such a large firm is amazing.”-Jess, Risk AdvisoryOur hybrid working policyYou’ll be based in London with hybrid working. Our hybrid model enables our people to collaborate, connect and innovate in both a virtual and physical capacity. As well as remote working, you’ll attend your more »

Quantitative Researcher - Vol Pricing A Market Leading Trading Firm are seeking a highly skilled and experienced QR to join there top performing Equity Vol desk. In this role, you will be responsible for the development and review of pricing models more »

Senior Quantitative Researcher - Volatility A Market Leading Trading Firm are seeking a highly skilled and experienced QR to join there top performing Equity Vol desk. In this role, you will be responsible for conducting alpha research, identifying and evaluating potential 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 »