previous experience in the fields of either data capturing, reception, administrative work, sales support annual leave, flexible working hours. The post Data Capturing/Administrator appeared first on freerecruit
purchase requisitions and Goods Received Note. To capture data on computer Distribution of orders or packing assigned from time to time. Salary: R9 000 The post Admin Clerk appeared first on freerecruit.co.za .
of all bank accounts
in Pretoria East, is currently recruiting for a Bank and Cash Controller. Responsibilities Include (but matching of all bank accounts Download statements for all bank accounts Ensure that bank statements are Prepare and report daily cash flow and bank balances schedules Monitor bank balances to maximise the facility
Summonses, Section 129 notices and all other banking litigation related documentation.
Ability
strict turnaround times.
Ability to liaise with banks and debtors in the prescribed manner.
Ability
The focus of this role will be on Foreclosure or Banking Litigation. The successful candidate will provide Summonses, Section 129 notices and all other banking litigation related documentation. Ability to work strict turnaround times. Ability to liaise with banks and debtors in the prescribed manner. Ability to
-5 years call centre management experience in a bank collections environment.
a Call Centre Manager that has specialised in Banking Collections. We are a law firm based in Pretoria 3-5 years call centre management experience in a bank collections environment. Able to work under pressure debichecks. Import and cross reference accounts and data from all sources. Understanding FICO and the process within FICO. Analysing skills: to analyse all book data and initiate campaigns to improve collections. The
a large financial institute has a vacancy for a Data Engineer on a contract basis.
The Company
incumbent will be responsible for delivering central data management, governance and reporting within the
organisation.
Designing and implementing data strategies and systems, through collaboration with
Management) and Business teams, to create and maintain the data architecture that will drive various initiatives
automate extremely high volumes of data delivery and creatively solve data volume and scaling challenges.