Position Description: 

We are seeking a highly motivated and analytical Credit Analyst to join our dynamic Credit Department. Reporting directly to the Director of Credit, you will play a pivotal role in supporting our credit risk management strategy through in-depth data analysis, the development and maintenance of credit risk models, and the generation of insightful quantitative reports. Your work will directly contribute to informed decision-making, portfolio performance monitoring, and the overall success of our mission to expand access to clean energy.

Roles & Responsibilities:

Data Analysis and Reporting

• Carry out careful analyses related to customer behavior, payment patterns, and their impacts to cash flow and other business operations.
• Develop regular and ad-hoc reports on key credit risk metrics, portfolio performance, and trends.
• Identify and interpret data patterns and insights to inform credit policies and strategies.
• Visualize data effectively using charts, graphs, and dashboards to communicate findings to stakeholders.

Credit Risk Modeling

• Assist in the development, validation, implementation, and monitoring of statistical and machine learning models for credit scoring, risk assessment, and forecasting.
• Contribute to the improvement and refinement of existing credit risk models based on performance analysis and evolving business needs.
• Document model methodologies, assumptions, and performance against actuals.

Portfolio Monitoring and Analysis:

• Monitor the performance of the credit portfolio, identifying areas of concern and potential risks.
• Conduct deep-dive analyses on specific segments of the portfolio to understand drivers of performance and inform targeted interventions.
• Track and report on KPIs related to credit risk, such as PvE, payment rates, delinquency rates, default rates.

Policy and Process Support:

• Provide data-driven insights to support the development and review of credit policies, procedures, and underwriting guidelines.
• Assist in the implementation of new credit risk management tools and systems.
• Contribute to the development of data requirements for credit-related processes.

Collaboration and Communication:

• Collaborate effectively with other departments, particularly Finance, Data & BI & Technology.
• Present analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Respond to ad-hoc data requests from the Credit Department and other stakeholders.

Key Performance Indicators (KPIs)

The KPIs for this role cover the full range of credit-related portfolio metrics of the company.

• PvE
• Usage Rate
• Portfolio at Risk
• % Paid @ Milestones.
• Expected Credit Loss
• Projections of Cash Collection

Requirements

Skills, Qualifications & Experience 

• Bachelor’s degree (or similar experience) in a quantitative field such as Statistics, Mathematics, Economics, Finance, Computer Science, or a related discipline. A master’s is a plus, but not necessary.
• Proven experience (5 years) in a data analysis or credit risk analysis role, preferably within the financial services, fin-tech, microfinance or PAYGo sectors. Experience in the PAYGo or off-grid solar industry is a plus, but not necessary.
• Strong proficiency in data analysis tools and software, including:
  • Data Visualization (Tableau)
  • Familiarity with database query languages (e.g., Python, SQL)
  • Advanced Excel skills (e.g., complex formulas, pivot tables, data manipulation).
  • Some experience with statistical software (e.g., R, Python, STATA) is desirable, but not a must.
• Solid understanding of credit risk management principles, methodologies, and best practices.
• Experience in developing and validating credit risk models (e.g., credit scoring, probability of default) is a significant advantage.
• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to interpret complex data and translate it into actionable insights.
• Strong written and verbal communication skills, including the ability to present findings effectively.
• Ability to work independently and as part of a team in a fast-paced environment.
• Fluency in English is required.
• Passion for the company’s mission and a commitment to making a positive impact in East Africa.