The National Pension Commission (PenCom) is set to commence online verification and enrollment for its 2021 retirees and prospective retirees of Federal Government Treasury-Funded Ministries, Departments and Agencies (MDAs).
This follows the development of an online application automation programme by the commission for the annual pre-retirement verification and enrollment for all its retirees.
According to NAN, this disclosure is contained in a statement issued by the Head, Corporate Communications of PenCom, Mr Peter Aghahowa, and made available to newsmen on Monday in Abuja.
READ: PenCom commences payment of 2.5% pension differentials to retirees
Aghahowa in his statement said that the application would take effect from September 1, 2021.
He pointed out that those eligible for the exercise are employees of federal government treasury-funded MDAs who retired between January and August.
He however noted that employees of the federal government treasury-funded MDAs who were due to retire from September and those who missed the enrolment exercise in previous years would also be included.
Aghahowa listed the two options for the enrollment exercise to include: self-assisted through pension desk officers or Pension Fund Administrators (PFAs)-assisted.
He also said that the affected retirees must complete their verification and enrollment with their respective PFAs on or before Oct. 29.
READ: Pension fund assets have risen to N12.66 trillion as at June – PenCom
In case you missed it
It can be recalled that earlier in August, PenCom, announced through a circular that it has created an online program that will automate the Annual Pre-Retirement Verification and Enrolment exercise. Prospective retirees of Treasury-funded Federal Government MDAs can register, verify, and enrol in the application.
The Commission said that it will conduct a pilot run of the online enrolment program from August 2 to August 20, 2021, with chosen MDAs in the six geopolitical zones and the Federal Capital Territory (FCT) to test-run the application with real-time data as a precursor to its full deployment.
