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 Bachelor in Science degree (Applied Mathematics, Financial Mathematics, Statistics or Actuarial) Masters
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 Bachelor in Science degree (Applied Mathematics, Financial Mathematics, Statistics or Actuarial) Masters
cross-functional teams to assess risk, develop models, and drive innovative solutions. Requirements: Requirements: Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field (Master's degree in a corporate setting Proficiency in actuarial modeling software (e.g., Prophet, AXIS) and programming
cross-functional teams to assess risk, develop models, and drive innovative solutions. Requirements: Requirements: Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field (Master's degree in a corporate setting Proficiency in actuarial modeling software (e.g., Prophet, AXIS) and programming
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal Qualifications: Education : Bachelor's degree in IT, Mathematics, Statistics, Data Science, or a related field problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal Qualifications: Education : Bachelor's degree in IT, Mathematics, Statistics, Data Science, or a related field problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
Education: Honours degree in Mathematics, Statistics or Applied Mathematics Job Experience & Skills
Education: Honours degree in Mathematics, Statistics or Applied Mathematics Job Experience & Skills
BI team. Qualifications: Honours Degree in IT/Mathematics/Statistics or equivalent 10 years' experience
BI team. Qualifications: Honours Degree in IT/Mathematics/Statistics or equivalent 10 years' experience