the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing Analytical, Python Programming, R Code, SQL, Statistical Data Analysis Qualifications and Experience:
to apply data mining techniques and conduct statistical analysis to large, structured and unstructured A degree in either engineering, data science, statistics, computer science, or any other quantitative of structured and unstructured data. Advanced statistical/machine learning with applications in the financial
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4 years of experience
Have a degree in Actuarial Science, Mathematics, Statistics or similar 4-6 years of experience as a Data
Have a degree in Actuarial Science, Mathematics, Statistics or similar 5 years of experience as a Data Scientist
Assistant is Qualifications and Experience: BSc Hons Statistics/Informatics, Computer Science, B.Eng. (Computer
Bachelor's degree in Business Administration, Statistics, Mathematics, Computer Science, or a related
accuracy, completeness, and consistency. Utilise statistical techniques and data mining algorithms to analyse
functionality and quality, staying ahead of the curve by researching and implementing new technologies. If you possess
Responsibilities: Write reusable, testable and efficient code Research on technologies that can improve our products