1 to 25 of 76 Model Validation Jobs

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 »

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 »

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 ongoing advancement of a robust risk management program. Effective coordination with executive management, business units, control departments and technology is critical for success. MODEL RISK MANAGEMENT (MRM) The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New … York, Dallas, London, Warsaw, Hong Kong, and Bangalore. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards, including documentation to evidence effective challenge over the Model development, implementation, and usage of … reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. RESPONSIBILITIES Perform independent validation more »

Model Assurance Framework Engineer Job Description: As a Model Assurance Framework Engineer, you will be tasked with designing, implementing, and maintaining a robust framework to ensure the quality and reliability of our models. You will collaborate closely with our development teams to integrate best practices and standards into … the model development lifecycle. Your responsibilities will include working alongside cross-functional teams to establish processes and methodologies for validating models, identifying risks, and implementing mitigation strategies. Additionally, you will contribute to the continual enhancement of our model assurance framework by remaining abreast of industry trends and emerging … technologies. Key Responsibilities: Develop and implement a comprehensive model assurance framework to guarantee the accuracy, reliability, and compliance of our models. Collaborate with stakeholders to define requirements, establish standards, and design processes for model validation and verification. Design and automate test cases, scripts, and procedures to assess more »

in the UK or Europe This mid sized bank has fantastic opportunities for driven and enthusiastic individual to join them to rebuild their IRB model suite. Contribute to specific model development/remediation projects; Follow rigorous analytical solution and documentation processes and quality standards; Ensure output compliance with … internal and Regulatory requirements; Support engagement with key stakeholders (e.g. Business Model Owners, Model Validation teams, Model Risk teams etc); and Support internal model governance processes; Skills and Experience required; Credit Risk/IRB Modelling expertise is essential; collaboration and communication skills; Critical thinking skills 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 »

market risk models. Making key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of the materiality of any model limitations (e.g. RNIV). Documenting model implementation details, tests, and findings for model validation to review, in accordance with Firm's Model Risk Management policies and framework. Qualifications Strong background in market risk models and … results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well-structured technical model documentation). Ability to work without significant direct supervision. Previous experience of regulatory capital model & economic capital model is preferred. Knowledge of more »

Model Risk Oversight Manager- Yorkshire (Hybrid)- up to £75K My Client is on the search for a Model Risk Oversight Manager for a permanent position in Yorkshire. The candidate will act as a subject matter expert on all model risk thematic reviews to support the delivery of … The reviews will cover (but is not limited to) the IRB Rating system, Retail Credit, ALM and Finance Models. Apply technical knowledge to ensure model risk is managed through the effective review of model design, periodic validation and model use. Key Responsibilities: • Act as a subject … matter expert and take the lead to deliver the thematic Model Risk reviews. Apply expertise to conduct reviews which deliver insightful, accurate and meaningful findings to support the 2LoD Model Risk Oversight Business Partner in understanding key model risks. • Responsible for leading the engagement with key business more »

site-based role, to: Create BIM documentation focused on delivering the BIM goals, launching projects collaboratively and driving forward the BIM agenda. Carry out model validation checks in terms of geometry and data, chair coordination reviews and liaise with model managers for resolutions. Support the deployment of … field data management systems, review validity of information collected against information deliverables. Facilitate delivery of the federated 3D model, hosted and linked BIM data including COBie. Ensure that data exchange protocols are adhered to by the project team and liaise with design team manager on compliance issues. Requirements Ability 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 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 »

CREDIT RISK MODEL MANAGER £55,000 NORTH ENGLAND This role is an exciting opportunity to join a well-known consultancy in a time of growth. This position offers the chance to work on a broad range of projects and use Python as this is rolled out across the business. … THE COMPANY This client is an established consultancy who specialise in analytics, with this role focusing specifically on credit risk model monitoring and audit. You could work with a range of businesses across the UK including banks and FinTechs. This is a really exciting time for the business as … however you can expect to: Analyse and monitor a range of models including IFRS9, IRB, Stress Testing and wider credit risk models Work on model validations, audits, oversight and wider implementation Use Python for client work as the business roll this out across teams Communicate effectively and build strong 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 »

a Lloyds of London insurer, seeking a Quantitative Risk Analyst . This individual will report directly to the senior risk actuary and support the validation of the internal capital model. Candidates from a capital background would be highly desirable alongside risk candidates with exposure to validation . Key … Responsibilities: - Significant interaction with the capital modelling team, conducting validation testing and analysis - Development of the stress and scenario tests, in relation with the actuarial team and other relevant functions - Maintain regulatory reporting i.e ORSA - Key stakeholder engagement Requirements: - 1+ Year within London market/General Insurance - Strong grasp … of capital modelling/validation testing - Strong communication skills needed when liaising with stakeholders - Numerical/statistical degree is desirable Hybrid work model is on offer more »

testing analysis, offline evaluation and production performance impact monitoring. Work with and optimize third-party vendor solutions to resolve client issues (e.g., rules tuning, model validation, etc.). Analyze batch input and output data for Quality Control purposes, trends analysis, etc. to ensure optimal output performance. Prepare reports more »

our diverse team of verification engineers, you solve the latest CPU microarchitecture design verification. You will join a growing organization with a validated business model and a strong plan for continued future growth. Your team uses the latest tools and methodologies with an eye for innovation and creative problem … verification of units Build and maintain detailed verification plans Generate and run test cases on logic simulation models Debug functional errors in the RTL model, using simulation tools, debug tools with an in-depth understanding of the architecture and RTL design Define and implement functional and statistical coverage, and more »

customers. Our machine learning platform helps manage the various components of the ML application development life cycle, starting from data ingestion, and experimentation, to model training, deployment, and monitoring. All of these components are interdisciplinary, so you will be working closely with cross-functional teams across the organization. Role … projects end-to-end and develop platform tooling for the Data Science team. You will be responsible for Machine Learning Operations outcomes: Velocity of Model Deployments, Validation of Model Deployed Code and Versioning of Data, Model and Infrastructure. Minimum 3 years of hands-on experience implementing more »

role. preferably manufacturing but not essential. Key Responsibilities Responsible for educating the workforce on information security through training and building awareness. Threat modelling, mitigation, validation, including software and hardware penetration testing. Work with all functions of the IT department to design security into the system and drive security reviews. more »

in the UK or Europe This mid sized bank has fantastic opportunities for driven and enthusiastic individual to join them to rebuild their IRB model suite. Contribute to specific model development/remediation projects; Follow rigorous analytical solution and documentation processes and quality standards; Ensure output compliance with … internal and Regulatory requirements; Support engagement with key stakeholders (e.g. Business Model Owners, Model Validation teams, Model Risk teams etc); and Support internal model governance processes; Skills and Experience required; Credit Risk/IRB Modelling expertise is essential; collaboration and communication skills; Critical thinking skills more »

in an expansive role with the opportunity to grow within in a renowned investment banking corporation. The role will see you working on the validation of quantitative methodologies, both initial and recurrent, across diverse asset classes and model categories (including derivative pricing models, credit and market risk, capital … models, AI models, etc.), adhering to regulatory standards and industry benchmarks. The validation process often necessitates an independent deployment of the models and the creation of alternative challenger models. The successful candidate will have an MSc in Quantitative Finance, Mathematics or a relevant area, professional coding ability in Python … and around 5 years experience in either model development or validation across either pricing or risk modelling. more »

an innovative thinker? We’re looking for someone like that who can: • independently review exotic equities and commodities derivative models • approve exotic transactions and model reserve methodologies • provide expertise on model suitability, calibration, speed and accuracy • develop benchmark models in python and C++ • work closely with front office … quants, market risk control, and trading Your team You’ll be working in the Model Validation team focusing on equities and commodities derivatives. As part of Group Risk Control, the main objective of our team is the validation of the models used for valuation and management of more »

maintain and deliver advanced analytical models, to support Climate Change and Financial Crime, employing relevant statistical techniques and adhering to current modelling standards and validation regulation. You will also support the wider Retail Financial Risk Modelling to embed machine learning into models. You’ll need to plan effectively and 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 »