futures? We are seeking a Credit Analytics & Modelling Manager to turn data into actionable insights perform quantitative analysis for statistical and modelling data. Analysis of historical data, data cleaning selection, modelling, and performance evaluation Develop analytic solutions using outputs from models in credit provisioning and capital assessment. Development of models in multiple programming languages Develop and maintain performance of the models. Support models throughout the model lifecycle, including governance, model reviews and
Rails / experience with dynamic online customer facing front-ends UI/UX JavaScript Stimulus Slim Sass Must have experience with dynamic online customer facing front-ends Previous experience in web sales, retail/commerce
machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities:
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
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
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
Auto CAD (heavy user) and Creo (Advanced part modelling, assembly, piping, drawing, sheet metal) Knowledge and create Creo CAD models when required. Create Draft BOMs for created new model coolers. Checking the
includes drawings and CNC programs Modeling of new wheels as 3D solid models using CAD packages such as Pro/Engineer requirements Creating tool paths from the 3D solid model for the manufacturing of electrodes and for high