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experience with a technical background in a similar environment
My client is looking to hire a Client Support Officer in Stellenbosch. Managing existing client relationships service support role, ideally in an operations environment; Full understanding of the Microsoft suite, specifically
accountant must: Diligently serve the training office in the profession of a CA(SA) or AGA(SA) and, where practice of the profession and notify the training officer immediately should he cease to be registered for authority of the training officer; At all times keep the affairs of the training office and its clients confidential of these Regulations; Comply with the training office policies and procedures; Complete any timesheets; training officer in disclosing to SAICA any circumstances which in the opinion of the training officer, may
are seeking an efficient and proactive Office Administrator to join our client's Stellenbosch in a half day capacity. As the Office Administrator, you will be responsible for overseeing
Responsibilities:
job
Assurance, Accounting and Consulting firm with offices in Stellenbosch, providing reliable and professional seeking to employ SAICA Trainee Accountants to their offices in Stellenbosch for the 2025 intake. Earlier starts activities. Work productively and in a challenging environment. Qualifications and Experience: BAccounting, Diploma in Accounting Sciences, Postgraduate Diploma in Applied Accounting Sciences. Computer literacy.
tactics, technological applications, and behavioural sciences to help senior management make data driven decisions Degree in Data Science, Mathematics or Engineering (Minimum) Master's Degree in Data Science, Mathematics following (within the Retail Credit Risk Management Environment): Extracting and Aggregating Data from Large delivery of solutions. Retail or Banking credit environment / industry Credit cycle Best practices and tools
tactics, technological applications, and behavioural sciences to help senior management make data driven decisions in Data Science, Mathematics or Engineering (Minimum)
plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management) To Mathematics, Statistics, Engineering, Computer Science with focus on Machine Learning (Minimum) Master's Mathematics, Statistics, Engineering, Computer Science with focus on Machine Learning) (Ideal) Experience Experience 4 years' relevant experience in Data Science Experience must include the following (within the Retail Retail Credit Risk Management Environment): Extracting and Aggregating Data from Large Relational Databases