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
integrity management (financial models)
responsibilities include:
cross-functional teams to assess risk, develop models, and drive innovative solutions.
Requirements:
Proficiency in actuarial modeling software (e.g., Prophet, AXIS) and programming
TypeScript, etc.
Comfortable with data modelling, Qlik NPrinting, data mapping, back and front-end
existing Qlikview models.
Data Clean up from source.
Developing new Qlikview models.
Maintaining
CSS, C#, TypeScript, etc. Comfortable with data modelling, Qlik NPrinting, data mapping, back and front-end existing Qlikview models. Data Clean up from source. Developing new Qlikview models. Maintaining automation
include: Financial risk Management Creating process models using charts and illustrations to guide the product tasks. Managing financial models Applying advanced statistical predictive modelling Guiding and delegating
include: Financial risk Management Creating process models using charts and illustrations to guide the product tasks. Managing financial models Applying advanced statistical predictive modelling Guiding and delegating
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You will be responsible for building valuations models using Prophet and Excel. Add value to the calculations the business with the embedded value, SAM and OCR models. Support the Chief Actuary with valuations in a financial reporting and capital experience Prophet modelling and IFRS17 experience - beneficial Apply now For