Edna Mulwa

Appointed by the IFC through the Central Bank of Kenya (CBK) to assist the recovery of the financial sector in Kenya by enhancing the Credit Information Sharing environment with a view to promote access to credit for marginalized groups- including farmers; Micro, Small and Medium Enterprises (MSMEs) and women-led businesses.

•Leading the Data and analytics teams, empowering them to support decision-makers both within the organization and across the client base. •Driving the evolution of a data-centric culture within Metropol, ensuring data and information are trusted and treated as vital corporate assets. Advocating for data integrity, ensuring that Metropol business and technology initiatives prioritize quality data management. •Overseeing adherence to mandated data policies and standards within the Data Management team. •Developing and maintaining robust, well-documented, and auditable data management processes and procedures that ensure the integrity, accessibility, and security of data across the organization. Data Governance: •Establish and deliver technologies, tools, approaches and methodologies to unlock the value in enterprise data assets of Metropol •Manage data as a strategic asset and operationalize data governance, data quality and other controls through implementation of international standards and frameworks to sustain the integrity of the data of Metropol

• Re-engineer the company's data quality procedures, standards and specifications. • Management reporting on data quality • Create and maintain the company data dictionary to ensure availability and adequacy of data to be used in models. • Execute the company strategy for new data set acquisition • Oversee the development and maintenance of data templates including validation rules • Provide insights, trends and recommendations to the business, development and analyst team regarding the data held by the company. • Devising and establishing the company's quality procedures, standards and specifications. • Oversee all ETL functions in the company regarding data • Supervise staff in the functional area and build capabilities within the company

A Central Bank of Kenya appointment to represent the Credit Reference Bureau with the aim of strengthening the CIS (Credit Information Sharing) mechanism and enhancing its value in the Credit Market of Kenya. The Technical Working Group consists of Key Stakeholders in Financial Inclusion in Kenya who are members of the World Bank Group, Central Bank of Kenya, CIS Kenya, Financial Institutions in Kenya (Banks and Microfinance Banks) and Credit Reference Bureaus. Key Tasks: • Review of the assumptions underpinning Individual Credit Bureau Scores. • Data analysis on Data Sets in building the scores and ensuring the same data sets are used. • Data quality improvement by the development of an Industry Data Submission Template and Data Validation Rules document. • Identification of early adopters of scores and analytics in Kenya working with the Credit Reference Bureaus. • Development of a framework for the harmonized evaluation of credit scores to aid in Risk Based pricing in Kenya. • Daily Data Submission to ensure data with the bureaus is current. This is to aid and ensure customers data is up to date.

• Maintaining the data integrity and quality of the existing Transunion Credit Bureau databases • Performing data checks and scrubs for clients in Kenya, Zambia and Rwanda. • Management information reporting to stakeholders. • Ensuring all clients conform to the Data Specification template and all the business rules for the Credit Bureau • Train clients on Data Specification templates for credit bureau reporting. • To communicate with various external clients to understand their financial processes and to incorporate those into Transunion Credit Bureau’s processes. • To create simple business specifications to • Amend data on our database. • Quality control of data received from suppliers according to predefined standards • Advising IT Managers on any issues with the system and ensuring efficient and timely processing of financial data • IT Project Management of data extraction and submission software. • Train new Data Analysts and Data processing team.