Graduate Trainee – Quantitative Risk

Application deadline date has been passed for this Job.
This job has been Expired

Graduate Trainee - Quantitative Risk

  • Post Date:June 19, 2024
  • Views 511
0 Applications
  • Career Level Student
    Qualification Degree
    Experience Fresh
  • Industry Banking
Job Description

Applications are invited from suitably qualified individuals to fill the vacant position of Graduate Trainee – Quantitative Risk, which is based at the Head Office under AFC Commercial Bank.

Reporting to: The Quantitative Risk Manager — Business Risk

Duties and Responsibilities

The successful candidate will, among other things be responsible for:

  • Designing, developing, implementing, validating, and maintaining IFRS 9, Basel II/III and Solvency models and forecasting of Capital Requirements.
  • Developing models for quantitative analysis of business risks, such as Market, Liquidity, and Interest Rate Risk, back and stress testing, and determination of Value at Risk.
  • Developing models for the analysis of capital, including Economic Capital, Internal Capital Adequacy and Assessment Process (ICAAP), Comprehensive Capital Analysis and Review (CCAR) as well as BASEL Framework.
  • Conducting validation of quantitative risk models developed in the Bank and those from external and third parties.
  • Producing documentation for model development as well as Framework of model application.
  • Maintaining a clean and credible data bank/base For modelling by the Risk Department.
  • Researching market trends in quantitative risk management in banking to improve existing models.

Qualifications and Experience

  • A Degree in Mathematics/Financial Engineering/Statistics/Economics or equivalent.
  • Proficiency in using Microsoft Excel computer applications.
  • Basic understanding of IFRS 9 Expected Credit Loss models and other risk management frameworks, such as BASEL
  • Capability to develop models for data analysis and quantification of risk.
  • Ability to conduct econometric modelling and Forecasting.
  • Previous engagement in modelling or quantitative risk projects or assignments will be an added advantage.

The essential qualities demanded by this position are good modelling skills, programming working knowledge, high innovation appetite, and the ability to communicate at all levels.

Interested candidates should submit applications, accompanied by a detailed resume no later than 21 June 2024. All applications should be emailed to [email protected] indicating the position you are applying for as your E-mail Subject Reference.

Only shortlisted candidates will be contacted.