The successful candidate will be responsible for ad hoc analyses; feature engineering, data preparation, development of statistical models, strategy development, monitoring and tracking Experience in conceptualizing, coding and implementing feature engineering. Experience working with large datasets
experience in a Credit Analyst or Data Analyst role
Experience in SAS is compulsory.
Computer Languages:
differentiating business insights. Data Analysts should be skilled in SAS, GCP, Python and Hex.
We
looking for Quantitative Analysts who are able to programme in R, however SAS, SQL, VBA and Python will
looking for Quantitative Analysts who are able to programme in R, however SAS, SQL, VBA and Python will