Business Development Expert (International) for the Consulting Services for an Accompanying Measure for the Project, “Reform Partnership: Development Bank of Ghana”

Background:

The Development Bank Ghana (DBG) is the newly established national Development Finance institution (DFI). German Cooperation, through the German Development Bank, KfW, supports the successful establishment of DBG:

  • Provision of a subordinated loan to expand the capital base
  • Successful establishment of the business model of DBG as a national development bank on the Ghanaian market through the implementation of an accompanying measure with a duration of 36 months.

Establishing the functional capability of the DBG in a short period of time is elementary to achieve the ambitious objective of efficiently and sustainably providing and using a demand-oriented range of medium to long-term financial services for small and medium enterprises (SMEs) in Ghana. Furthermore, a framework to manage data and disseminate information throughout an organization effectively and efficiently provides a strong foundation for well-run DFIs. Principally, such a framework should support a high level of assurance regarding data quality, that would facilitate risk management and the conduct of significant business activities of DBG.

Management Information Systems (MIS) and Procedures should interface and support budgeting modules, cost accounting, loan status reports with analysis of performing and non-performing loans and aging data, to name a few. The Data Management and MIS system forms an integral part of DBG’s operations providing the inter relationship between Participating Financial Institution’s lodging funding applications to DBG, right through to the evaluation and approvals of the applications, reporting, and monitoring of lines of credits in an automated manner – like what is in operation at KfW.

 

Objectives:

The DBG wants to embrace decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. This however requires the setting-up of a well-functioning data science and analytics function to support the delivery of organizational goals. DBG’s goal is to be the number one data-driven decision-making development finance institution in Africa.

Thus, the objective of the assignment is to assist DBG’s Board of Directors and Senior Management in achieving this goal. For this purpose, DBG envisions a central Data Science & Analytics team with a pool of talent, which is allocated into business units (BUs) (e.g., risk analytics, finance analytics, economic analytics, operational analytics, human capital analytics, etc.) depending on the requirements and priorities. Once the project in a business unit is over, the team goes back to the pool and is earmarked for the next project.

In addition to the above, the international consultant team will ensure that the capacity of participating FIs onboarded by DBG are built, and DBG has in place an appropriate MIS that which supports its lending operations. Furthermore, the international consultants assist DBG to develop appropriate products that meet the needs of SMEs, in line with the target client segment of KfW´s Subordinated Loan.

These objectives will be achieved through a range of capacity building measures for DBG staff and participating FIs.

 

 

Qualifications: 
  • Degree in Economics, Finance, Accounting, Banking, Business Administration, or other relevant discipline.
  • Minimum 10 years of professional experience in business development for development banks.
  • Profound knowledge of development bank activities and products / product development, particularly in credit underwriting and administration, risk management, accounting and / or asset and liability management.
  • Experience in developing business strategies / business plans for development banks.
  • Exposure to SME-focused loan products.
  • Proven experience in similar assignments in emerging economies (previous experience in Ghana will be an advantage).
  • Fluent in spoken and written English.
Start / Duration: 

36 months; To commence in May 2022

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