Credit Data Analyst at Apollo Agriculture

About the Role:

Apollo Agriculture is seeking an analytically driven professional to take ownership of implementing, monitoring and analyzing credit and fraud risk strategy while managing the required data infrastructure, for financing agricultural inputs and advice for our end consumers (farmers). This role demands acquiring a comprehensive grasp of the business processes and risk-mitigation strategies across the customer lifecycle (acquisitions, customer management and collections). The successful candidate will work closely with cross-functional teams to design and optimize risk mitigation strategies, ensuring that we provide sustainable financial solutions to farmers while protecting the business from fraud and credit risks. You’ll play a key role in shaping our risk strategy, analyzing key metrics, and making data-driven decisions to continuously improve our approach.

Location: Hybrid role based in Nairobi

Management: Reports to Head of Credit Acquisitions and Fraud

Responsibilities:

• Data Infrastructure: Develop, own and maintain data models to facilitate quick access to data to support credit and fraud risk policy development, monitoring and deep dives.
• Monitoring and Control: Apply business understanding to create and maintain well-structured frameworks for monitoring the key metrics, implement controls and automated triggers to promptly inform key stakeholders of emerging trends that demand immediate attention. Conduct in-depth analysis to comprehend the root cause behind these trends, and synthesize and share insights.
• Policy Implementation and validation: Take full ownership of the full-proof implementation of data-driven strategies, ensuring that the intended objectives are successfully met through the development and upkeep of a comprehensive implementation, monitoring, and control framework.
• Data Visualization: Create meaningful and effective data visualizations to enable actionable insights from complex data.

Requirements:

• A professional with basic knowledge of credit and risk management with 2 to 4 years of relevant experience
• Experienced in designing and implementing ETL processes, dataflows, and maintaining databases to ensure the accuracy and integrity of data, while optimizing data retrieval and analysis for informed decision-making
• A data-driven problem solver with proficiency in SQL, Python and MS Office
• Experienced in using Business Intelligence tools like Tableau, and version control tools like Git, data wrangling and transformation tools like dbt.
• Excellent in written and oral communication skills
• Structured and organized in your work and have great attention to detail
• A graduate with a degree in courses requiring and developing analytical problem solving and mathematical ability (e.g. engineering, statistics, mathematics, etc.)

We:

• Are a collaborative team of smart and ambitious people who are dedicated to serving our customers. 
• Make magic happen to solve hard problems and always come with solutions when challenges arise. 
• Are comfortable taking risks that can result in radical scale, and understand that failures are opportunities to learn and improve. 
• Are considerate listeners and take the time to deeply understand and seek out ideas from the people around us, even when we disagree. 
• Offer a dynamic environment that fosters talent, collaboration and growth. 
• Take pride in our work and share the responsibility to see it through from conception to deployment. 
• Back up our talk with a competitive compensation and benefits package and challenging projects. 
• Value autonomy, honesty, transparency, and respect. 
• Are excited to hear from you!