coordinate analytics and business intelligence models, creating visual data representations, and implement align with business goals. Business Intelligence Models : Establish and coordinate analytics and business descriptive models, including but not limited to Propensity to Pay, discount and settlement models, and commission commission rate models. Finance and Legal Collections: Work with finance and legal collections teams on on fair value, amortized cost modeling, and other financial models. Qualifications BSc in Business Data
Personal Lines Pricing team through predictive modelling exercises and in-depth analytical investigations business objectives. Create and refine actuarial models to monitor business performance and support development initiatives. Taking ownership of lifetime value models and renewal strategies to maximize customer value value and retention. Utilize predictive modeling techniques to segment the client base and identify pricing pricing opportunities. Ensure models are accurate and fit for purpose, regularly monitoring their performance
Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
correlated with credit risk outcomes and developing models to forecast consumer default likelihood. Your expertise expertise will be crucial in integrating these models and data-driven approaches into operational processes role includes developing predictive credit risk models, improving credit risk outcomes, achieving targeted mentoring junior analysts, updating provisioning models accurately, and deriving high-quality insights similar role Strong experience developing predictive models for forecasting probability of default Experience
correlated with credit risk outcomes and developing models to forecast consumer default likelihood. Your expertise expertise will be crucial in integrating these models and data-driven approaches into operational processes role includes developing predictive credit risk models, improving credit risk outcomes, achieving targeted mentoring junior analysts, updating provisioning models accurately, and deriving high-quality insights similar role Strong experience developing predictive models for forecasting probability of default Experience
machine learning, statistical and mathematical models to solve business problems and enable the effective technologies and model data preparation. Responsibilities: Build statistical models Manage the development Define strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement validate the effectiveness of the models Monitoring/Calibration of models Effective self-management and teamwork
& Modelling Manager Are you an expert in credit risk with a passion for data analysis and model development help analyze large datasets, develop innovative models, and implement strategies that enhance credit decisions quantitative analysis and modeling. - Develop and maintain credit risk models using multiple programming or credit risk. - Proficiency in credit risk modelling, including IFRS9. - Strong analytical skills and
Responsibilities:
qualification Strong on Reporting and Financial Modelling Forecasting Hands-on person MS Excel advanced qualification Strong on Reporting and Financial Modelling, Forecasting Hands-on person, MS Excel advanced
efficiency and availability. Investigate all modelling and control system failures and associated deviations systems: Heat transfer modelling (finite element heat transfer Level 2 model) and combustion systems Rolling modelling (Level 2): Speed, temperature, forces, torques and flatness control models (including principle models for heating and rolling technology. Knowledge of how these Level 2 models are automatically