t expect you to know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statisticalmodelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good more »
analytics to support the model development process as a data analyst. The wider team are responsible for developing, implementing, and executing a range of statistical and econometric models that support the bank’s wholesale and divisions. This role will support the efforts of capital (AIRB) and IFRS9 models and … or preparing meeting minutes, reporting on process and control environment and managing control remediation activities • Leading the delivery of regulatory-compliant data for credit modelling • Delivering change that enhances the efficiency or effectiveness of Credit Insight and Analytics analytical outputCandidates could come from a variety of backgrounds, most likely … credit modelling, credit risk, credit data or similar. Key skills needed – understanding of the credit modelling process and the data requirements for the same, good technical skills (Python/SAS/SQL/AWS), some experience working on projects either as an SME or BA.Our client is committed more »
to provide comprehensive recommendations in solution design, business process design, business policy setting, and business metric definition. Quantitative and analytical skills (financial analysis, mathematical modelling, and statistics, etc.) Ability to “dive into” the data to determine root-cause. Desired ability to understand statistical forecasting models. Desired ability to more »
