1 to 16 of 16 Model Validation Jobs with Hybrid or WFH Options

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 »

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 »

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 »

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 »

The Model Risk Management (MoRM) team provides independent oversight and governance of model analytics and their implementation into the risk architecture that drive valuation, risk and stress results. The algorithmic trading model validation team is responsible for the independent review and validation of models used … wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive … opportunity to support a wide ranging CSR programme + 2 days volunteering leave per year Your key responsibilities Review, analyse and perform robust independent model validation for algo trading and AI/ML models. Perform model validation testing and derive conclusions leading to proper assessment of more »

Prague As a Barclays Quantitative Model Developer, you will participate in the development and maintenance of production regulatory market risk models. The area of activities includes: supporting AWS cloud based risk model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production. The systems include … their integration into the Risk engines framework Supporting Risk, FO and IT users of our analytics Communicating effectively with stakeholders (Risk IT, Project Managers, Model Validation, Risk Managers) and colleagues in QA What we re looking for: Master s Degree in related field Hands-on Programming skills in … with: AWS cloud, Terraform, Chef, CloudWatch, Docker and Mongo DB Skills that will help you in the role: Experience supporting AWS cloud based risk model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production Experience in development and support of quantitative development process, including statistical more »

every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Central Product Group 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 »

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 »

best person for the job, we always look across a wide range of diverse communities. What you will do: Own and deliver against the model development and periodic review plan for your specific model area (commercial, retail unsecured, retail mortgages or stress testing models) Ensure the model development and periodic model review documents are accurate, clear, concise, and complete before submitting to the Model Governance Committee (MGC) and Model Oversight Committee (MOC) Nurture the relationship with key stakeholders such as the model owners and model sponsors, as well as colleagues within … the credit risk model development team, model governance team, Finance and Treasury Ensure that the models are appropriately tested once implemented Ensure that all model related actions are appropriately addressed within the agreed timeframes. This includes actions raised by the Independent Model Validation (IMV) team 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 »

and operational decisions, and support the Associate Director of Operations (Resource Management) in shaping the wider organisation. Please note we have a hybrid working model, based in Exeter, and we aim to hold in-person interviews in Exeter for this role. Main duties of the job Provide statistical insight … develop, test and validate intelligent modelling and predictive systems to improve information sharing and analysis. Use mathematical, statistical and operational strategy techniques to effectively model and analyse a variety of statistical information, and make recommendations based on findings to improve operational, tactical and strategic business decisions. Develop and refine more »

as No Visa Sponsorship Available 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 »

Act as the main point of contact on assigned projects for all BIM related tasks and coordinate the sharing of commercially sensitive or confidential model information. Verify and validate that model information and asset data is accurate and complete. Liaise with internal teams including Project Information Officers and more »

Job Title: Model Risk Oversight Manager Salary: £70,000 per annum Working Model: Hybrid working Permanent Location: Leeds Act as a subject matter expert on all model risk thematic reviews to support the delivery of the Prudential Risk Oversight Plan. The reviews will cover (but are 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. Ensure reviews consider alignment with market best practice, regulatory requirements and Group policies. … Act as an enabler for the business to better understand and manage their model risk, providing advice and challenge to 1st line risk teams through impactful and highly influential engagement up to Chief Officer levels. Commercial Responsibilities: Interactions with Group Risk Committee (GRC) and Executive Risk Committee (ERC) to more »