1 to 25 of 55 Permanent Model Validation Jobs in the UK

PQE in predominately capital reporting in the life annuity market with ideally some management or mentoring experience. Key responsibilities: Validating and analysing the internal model results such as; impacts from internal model changes, calibration and validation of the capital pricing model, stress and scenario testing on … the capital position and internal model approach reviews. Providing Solvency II capital related MI Owning the effective prioritisation and scheduling of activities required for business-as-usual reporting, analysis, and process developments Supporting the strategic direction for the teams reporting systems, processes and methodologies and take responsibility for reviewing more »

This is a full lifecycle product engineering role that will involve working with customers to establish requirements, the development and implementation of control algorithms (model based), test, validation, and optimisation of prototypes to handover. You will be working on the design and development of gearbox/transmission systems … systems appreciation and ideally have worked within the e-mobility domain (automotive, aerospace or marine) or on other complex vehicle based control systems. Good model based software development experience using Matlab, Simulink, Stateflow or similar is needed. Based in Leamington Spa (hybrid/onsite). More : Senior Transmission Control … ability to technically lead projects and mentor juniors. strong technical ability with the design, development and implementation of control algorithms/control software using model based software (Matlab/Simulink, Stateflow) experience of gearbox/transmission control would be ideal, although other complex control systems experience could be considered more »

AI Prompt Engineer and Large Language Model Specialist London (Hybrid) Up to £105k basic + Excellent Bonus & Benefits About Us: My client is at the forefront of artificial intelligence and machine learning technologies with a team of passionate and highly skilled individuals dedicated to pushing the boundaries of what … is possible with AI. Job Description: AI Prompt Engineer and Large Language Model (LLM) Specialist to join our dynamic team. In this role, you will develop, test, and deploy state-of-the-art language models for a wide range of domains and tasks. You will also design, develop, test … LLMs. Prototype LLM scenarios for user testing purposes. Lead cross-functional teams to deliver features in an iterative manner. Develop automated processes for predictive model validation, deployment, and implementation. Influence the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to maximize value from more »

have appropriately been complied with. Requirements 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 »

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 »

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 office (May be flexible) 📌 Salary: £45,000 - £70,000 + 15% bonus A specialist challenger bank are looking for a Senior Credit Risk Model Development Analyst to lead their team… and what a company to join! They supports underserved segments of the mortgage market and have done for … something transformative that will have a major impact. As the company and team grows, so will you! Anyway, the role! You will undertake analysis, model development and monitoring for the IRB, IFRS9 and other Models for the whole bank. You will work with the Model Manager in the … approved IFRS 9 models. So, if you have experience in: Strong SAS & SQL coding skills Advanced mathematical, modelling and quantitative analysis Previous experience of model building or validation, quantitative analysis and data manipulation Experience working effectively with Internal and External Audit (desirable) Experience working in an IRB or more »

What is the opportunity? The Quantitative Risk team (QR) is part of the EMEA Risk Management team. The QR team is split into the Model Risk Management team (MR) and the Risk Analytics team (RA). MR and RA teams span both MHBK and MHI responsibilities. The Quantitative Risk … Analyst role sits within the Model Risk Management team (MR). On the MHBK and MHI sides, the MR team are responsible for producing independent and accurate model validations and conducting effective model risk management, including appropriate interactions with the trading desk and the overall risk management … teams. The MR team is responsible for recording the MHI model life cycle in Archer Model Risk Management system of record. The EMEA MR team works in collaboration with the MHSC MR and MHSC RA teams (based in Tokyo) on model implementation, assumption and validation topics. 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 »

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 »

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 »

What is the opportunity? The Quantitative Risk team (QR) is part of the EMEA Risk Management team. The QR team is split into the Model Risk Management team (MR) and the Risk Analytics team (RA). MR and RA teams span both MHBK and MHI responsibilities. The Quantitative Risk … Analyst role sits within the Model Risk Management team (MR). On the MHBK and MHI sides, the MR team are responsible for producing independent and accurate model validations and conducting effective model risk management, including appropriate interactions with the trading desk and the overall risk management … teams. The MR team is responsible for recording the MHI model life cycle in Archer Model Risk Management system of record. The EMEA MR team works in collaboration with the MHSC MR and MHSC RA teams (based in Tokyo) on model implementation, assumption and validation topics. more »

TensorFlow (and/or Keras), scikit-learn, and related tools, coupled with a strong command of Python. Robust analytical and mathematical abilities essential for model development and validation. Exceptional problem-solving skills capable of tackling intricate challenges. Effective communication abilities vital for collaboration, along with the capacity to thrive more »

have several Systems Engineering positions available across our various departments and these roles can specialise in any of the following areas: MATLAB/Simulink Model-Based Systems Engineering (MBSE) Systems Integration Systems Design Electro-Optics/Infrared (EO/IR) Simulation Modelling Validation and Verification (V&V) Algorithm 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 »

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 »

construct finite element meshes Use of Python scripting for automating pre-/post-processing of finite element models and for analysis workflow efficiency Performing model verification and validation (V&V) activities such as mesh convergence studies, comparison to hand-calculation and comparison to experimental tests Use of Linux more »

FSI In addition to day-to-day analysis tasks, other responsibilities may include: Communicating analysis results through production of clear, concise reports & presentations Applying model V&V techniques whilst adhering to quality assurance procedures Representing the wider business at national and international conferences Who Are We Looking For? We … characterisation and calibration of material models and equations of state Testing techniques used to obtain mechanical material property data Experimentation for the acquisition of model validation data PLM and CAD systems - Siemens Teamcenter and NX are particularly desirable Linux based HPC systems and batch submission systems Use of more »

The Model Risk Management (MRM) within ERM is responsible for model governance and the validation of models used by the bank in EMEA. This includes, among others, risk models which are used for risk measurement and decision-making purposes. MRM works closely with Risk Analytics and Front … Office quants to ensure that all risk models are validated on a periodic basis as well as at inception and changes. MRM provides regular model risk reporting to model oversight committees and the Board MAIN PURPOSE OF THE ROLE Independent model validation of quantitative methodologies, both … initial and periodic, across all asset classes and model types (derivative pricing models, credit and market risk, capital models, AI models, etc. ) and in line with regulatory requirements and industry best practice. The validation regularly requires an independent implementation of the models and the implementation of alternative challenger more »

Attitude and Orbit Control Systems (AOCS). The work of the GNC/AOCS Competence Centre is oriented to the design, development, specification, and validation of autonomous systems, including GNC and AOCS systems, for a broad range of aerospace and aeronautical platforms. As a matter of reference, DEIMOS’ activities … and navigation Unmanned autonomous vehicles (UAVs, UGVs) System and mission design Main Duties: The following types of responsibilities are envisioned: Specification, design, implementation, and validation of GNC and FDIR algorithms, to be applied to satellites, launchers, and re-entry vehicles, among others • Specification, design, implementation, and validation of … AOCS algorithms, to be applied to Earth-observation, interplanetary, and ADR/IOS satellites, among others The activities involved may include: Model-based design and implementation of GNC/AOCS algorithms Simulator design, implementation, and testing - Simulation of dynamic systems Mathematical modelling Specification and validation of GNC/ more »

Miryco Consultants are searching for someone with 3+ years experience using the modeling tool Touchstone Re. The role is at a large London Market insurance firm and you would be reporting into the Head of Exposure. The Role: Collaborate with more »

My banking client are looking for an IRB Model Development Manager to work in their IRB Model Development team in the Risk Analytics department. You must have; 3-5 years of IRB modelling experience, with at least 18 months in the non-retail space. End-to-end IRB … strategic objective for the bank. The role involves working closely with colleagues across the Business, Credit Risk and the Chief Data Office. The IRB Model Development Manager will play a leading role in the re-development of existing and new IRB models for specialised lending under the banks' IRB … models. Contributing to the standards, methodologies and toolsets required to perform analytic activities; You must have; At least 3-5 years' experience encompassing IRB model development/validation and decision support model relates roles. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. more »

Job Description Model Validation Quantitative Specialist - London We require a Model Validation Risk Quant with at least 5 to 7 years of experience in IRB risk model validation. The candidate should be experienced in conducting independent model validation and quantification of model risk including necessary communication of key facts and issues identified through those activities. They must have hands on experience of validation and expert level knowledge of validation of models according to the UK regulations (CRR and SS 11/13) and industry best practice. We have vacancies … have retail banking credit systems experience. Must have Experience A track record of validating credit IRB models within retail banking. Experienced in reporting of model risk to management. Good verbal and written communications skills. Knowledgeable in interpreting the CRR and Supervisory Statements (SS 11/13),Knowledgeable in IFRS9. 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 »

The Model Risk & Analytics team provides independent 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 Model Risk Management is responsible for the review all derivative … you will be reviewing and analysing derivative models for price and risk of interest Rates, and FX products. Your key responsibilities: Undertaking work on Model Validation research and development projects with aim of testing production models on Interest Rates Derivative, FX, and Hybrids Implementing independent models/products … Your skills and experience: PhD qualification in numerate subject such as Mathematics, Financial Mathematics, Physics or Statistics would be beneficial Significant experience in a Model Validation or Front Office Quant role Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference more »