Processing particulars

Data Subjects

The personal data transferred concern the following categories of data subjects:

Customer employees, contractors, consultants and other staff, their spouses, next of kin and dependents, as well as applicants, candidates and future employees. Data subjects may also include individuals attempting to communicate or transfer personal information to or through the services provided by NGA.

Categories of Data

The personal data transferred concern the following categories of data:

  • Name;
  • Home contact information (address and telephone number);
  • Date and place of birth;
  • Gender;
  • Entitlement to residency;
  • Citizenship;
  • Passport number;
  • Emails and/or other documents and data in electronic form;
  • Bank account details and other financial information;
  • Family status;
  • Details of dependents;
  • Emergency contact name and address and telephone number;
  • Location;
  • Band/seniority, Work Level;
  • Salary plan information;
  • Associate ID number;
  • Department;
  • Line and sub-line of business;
  • Local Bank entity name;
  • Work contact information (telephone number, address, fax number and email address);
  • Other address information, where appropriate such as temporary residence;
  • Cost centre information;
  • Start date and end date (if applicable) of employment;
  • Career relevant dates, such as promotion and rehiring events;
  • Reporting structure;
  • Benefits records and related information
  • Time and Attendance information, including overtime, shift premiums, substitutions;
  • Working patterns and contracted working hours, including full time / part time indicators;
  • Information related to redundancy;
  • Employment history;
  • Language(s) spoken;
  • Garnishment information and recipients of garnishments;
  • Pension information, including pension plan and contributions;
  • Performance related information (current and historic including bonus rewards and individual objectives);
  • Personal development plan information (including personal strength and weaknesses / development areas and assessment of potential);
  • Information regarding entitlement to work including visas;
  • Tax and national insurance/social security details;
  • Information related to termination of employment
  • Special categories of data (if appropriate)

The personal data transferred concern the following special categories of data:

  • Personal data revealing racial or ethnic origin;
  • Personal data revealing political opinions;
  • Personal data revealing religious or philosophical beliefs (including any processing operations necessary to conduct tax filings);
  • Personal data revealing trade union memberships (including payments, position and bank information);
  • Personal data of genetic or bio metric nature;
  • Personal data concerning health information;
  • Personal data revealing a natural person’s sex life or sexual orientation; or
  • Personal data revealing details regarding the (alleged) criminal commission or any offence including details of any proceedings of the sentence of a court.

Processing Operations

The personal data will be subject to the following basic processing activities:

The Personal Data received on behalf of the Customer will be used for performing HR administrative services, master data maintenance and administration, employee performance, learning and compensation management, payroll and time processing and administration to calculate, distribute and reconcile payroll payments, talent administrative services, direct employee support, service delivery monitoring and management or provision of technology infrastructure and support.

The use of that data will also extend to performing data migration tests, data validation test, payroll parallel tests, payroll go-live migration, HR administration and payroll services (gross-to-net calculation, tax and social insurance legal reporting, creation of bank payment files, integration with Finance, payslip printing) and payroll services support (systems & integration monitoring, data back-ups, regression testing, bug analysis) as well as in product development operations.