Quantitative Analyst Vacancy at Ernst and Young

Ernst and Young is a global leader in assurance, tax, transactions and advisory services. We guarantee access to international resources and instant access to all new technology, methodologies and leading best practice. Ernst and Young Nigeria has been in existence for over 50 years and we work with major corporations both public and private, distributed across various sectors of the economy within the country. We service over 600 clients in Nigeria comprising of public and private companies spanning over various sectors of the economy.

The following Job vacancy is available at Ernst and Young, November 2016:

Job Position: Quantitative Analyst 

Role Description

The successful candidate will handle to handle IFRS 9 implementation projects for a bank in the following areas:

1.       Validate the risk parameters (PD, LGD, EAD/CCF) calculated for internal credit risk management under Basel

2.       Identify adjustments required to risk parameters (PD, LGD, EAD/CCF) calculated for internal credit risk management (under Basel) and ensure they comply with IFRS 9 requirements

3.       Make adjustments required to risk parameters (PD, LGD, EAD/CCF) calculated for internal credit risk management (under Basel) to ensure compliance with IFRS 9 requirements

4.       Provide quantitative and technical support required in building IFRS 9 compliant impairment models and calculators for clients

Qualifications

Qualifications: B.Sc. (2.1)/MBA in Mathematics or Actuarial Science

Relevant working experience

2 -3 years credit risk modeling experience covering risk parameters such as PD, LGD, EAD/CCF etc. in an Advanced IRB environment

Basel II/III capital requirement calculations under Advanced IRB approach

Banking/Insurance

IFRS 9 and IAS 39 knowledge/experience will be an added advantage.

Modeling savvy

Using mathematical sense to model under different scenarios

Model validation etc.

Method of Application

Interested and qualified persons should click here to apply online