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Job Location | Newcastle Upon Tyne |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time or part-time |
Business Unit: Group Risk, Credit ModelsSalary: Up to £40,000 DOEContract Type: PermanentWork at the intersection of Data Science, Statistical Modelling and Economics. Our team turn data into actionable insights by building models to produce forecasts. We draw on Statistical Modelling techniques to produce the best possible predictive models.Working collaboratively with subject matter experts and business specialists, the models we produce quantify risk to inform decision making across the bank on a range of real-world problems. The work we do is key to the bank (and wider economy) and so our models are reviewed by internal experts and regulators. In addition, wereexperimenting with the use of Machine Learning techniques to inform our model development.Were seeking bright individuals who have some experience in modelling and analytics.Your experience can be in a range of contexts such as; Pharmaceuticals, Academica, Banking, Data Science etc. Importantly, you should be goal focused and have an ability to think critically about modelling and statistics. This is a role where you will work with and, learn from our multidisciplinary team of experts. As well as regular feedback, formal trainingcourses are provided to help you make the most of your career and develop you as an individual. We ask that you bring a desire to develop, research and collaborate, as well a record of producing high quality work.As part of the IRB & Predictive Modelling team youll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our model suite, providing solutions support the acquisition of new business, risk-basedaccount management and manage the banks capital across its Retail portfolios.Day to day youll be responsible for Building and validating statistical models to support business decisions, in line with regulatory requirements. Researching the best techniques for the given purpose and coordinating with others to determine a model specification. Providing a critical eye on existing models and technical expertise to stakeholders. Drafting model documentation and recommendation papers. Managing own workload and prioritise accordingly. Providing input into the scoping, design, development, validation and implementation models. Data preparation, merger, quality checks and treatment. Providing support and coaching to less experienced analysts within the team.There are a few essentials you need to bring A demonstrated ability to learn complex mathematical and coding techniques. A numerical related degree (Maths, Statistics, Physics, Astronomy, Data Science, Econometrics or related) or relevant business experience. Some understanding of statistical modelling techniques such as hypothesis testing, probability distributions, Linear and Logistic Regression. Some experience of model development with a track record of producing high quality analytical work. Experience in the coding models in Python, R, SAS, MatLab or related A passion for analysing and interpreting data. Good communication, listening and writing skills. An ability to listen, understand and respond professionally.Its a bonus if you have...but not essential Understanding of machine learning model algorithms such as; Boruta, XGBoost and Random Forests. A post graduate numerical related degree (Maths, Statistics, Physics, Astronomy, Data Science, Econometrics or related). Understanding of model monitoring reports and key metrics of model efficacy (GINI/ROC-AUC, KS statistic etc.) Experience in Banking and Risk Management. Understanding of model usage and credit strategies. Coaching/mentoring experience. Knowledge of the Basel Capital Requirements Regulation.Were also transforming how we work, offering our colleagues more choice, control and flexibility to live and work how they choose with A Life More Virgin.Heres what it means for YOU: