Credit Analyst

Job Description

The Credit Risk & Collections team at d.light is responsible for ensuring that customers' repayment levels are kept within targeted thresholds across its entire PAYGO product range in each Country of Operations (OpCo). They are responsible for understanding customers' loan repayment trends, leveraging data analysis to improve the Quality of Sales, Collections performance from both the Call Centre and all field teams, training all customer-facing teams around credit best-practices, increasing operational efficiency and ultimately ensuring that the d.light portfolio remains within its credit risk ratios and that it hits its customer collections targets.

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.

All applicants are required to submit a cover letter along with their resume/CV. Applications without a cover letter will not be considered.