Data Analyst role Experience in SAS is compulsory. Computer Languages: SAS (required); Advanced Excel (required) file which will be used for lending. Data mining in SAS in order to increase the lending opportunity size
including SQL / SAS): need to be able to work with millions of rows. Computer Languages: SAS (required) /
including SQL / SAS): need to be able to work with millions of rows. Computer Languages: SAS (required) /
years experience in the modeling industry Strong SAS, R, and Python experience ML skills and knowledge
years experience in the modeling industry - Strong SAS, R and Python experience - ML skills and knowledge
Analysts who are able to programme in R, however SAS, SQL, VBA and Python will also be considered. The scrubbing, cleaning, mapping and analysis using SAS, SQL, VBA, Python and R skills Compilation of model quantitative analysis or modelling experience Competent in SAS, SQL or VBA Ideally a Credit Risk or Financial risk
languages related to credit risk modelling (e.g. SAS, Python, or R) Strong organisational and time management 3 years of credit risk experience Familiar with SAS, Python, or R Experience mentoring junior staff Education
processes. SQL development experience, preferably SAS data studio and AWS experience The ability to ingest/output
your coding skills in packages like Python, R and SAS.] SKILLS REQUIRED: Understanding of contemporary languages related to credit risk modelling (e.g. SAS, Python, or R) Strong organisational and time management
development of ETL processes SQL development experience SAS data studio and AWS experience Proficient in Python knowledge of compliance and IT governance General SAS experience The Reference Number for this positio