10 Propensity Modelling Jobs with Remote Work Options

My banking client are looking for a Credit Risk Modelling Manager to work in the IRB Model Development team in the Risk Analytics department. 6 years+ of credit modelling experience with advanced SAS or SQL. Statistical background with credit modelling experience. IRB experience an advantage but not … objective for the bank. The role involves working closely with colleagues across the Business, Credit Risk and the Chief Data Office. The Credit Risk Modelling Manager role reports into the Head of Specialised Lending IRB Model Development, and will play a leading role in the re-development of existing … Business teams and leading workshops to understand how our analytic outputs can support their decision making. Extracting, transforming, and cleaning the data required for modelling and analysis purposes; Engaging with regulatory bodies as part of the on-going cycle of regulatory review of our models Contributing to the standards more »

Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however more »

C# Software Developer required by a leading Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. This is a brand-new position due to growth and will join a well-established, high calibre development team. The company operate on more »

Lead Software Developer required by a leading Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. This is a brand-new position due to growth and will join a well-established, high calibre development team. The company are hiring more »

you will: Work on a variety of machine learning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machine learning models to the cloud Collaborate with Data Engineers and Software Engineers SKILLS AND EXPERIENCE Strong academic background to Degree more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

languages such as Python, SQL, and others to implement statistical methods effectively addressing specific business problems. You will be working extensively on forecasting/propensity modeling. Develop robust models and perform data-driven analyses to support strategic decision-making processes. Innovate and enhance existing methodologies by creating new data … for this role, please submit your CV to Luc Simpson-Kent through the application link provided on this page Desired Skills and Experience Forecasting, Propensity, Python more »

and Python for conducting analytics work, understanding customer behaviour, lifetime value, retention, etc. and deployment of segmentation models to fully understand the customer base, propensity models to predict future customer behaviour, and customer frequency modelling different business problems and how data can help the business YOUR SKILLS AND more »