Senior Credit Risk Analyst

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. FairMoney maintains a strong international presence, with offices in several countries, including France, Nigeria, Germany, Latvia, the UK, Türkiye, and India.

In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents.

To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch this informative video.

About the role

A highly analytical professional with deep expertise in Expected Credit Loss (ECL) modeling forecasting and collections risk analysis. This role is critical in shaping data-driven recovery strategies by analyzing delinquency trends, risk segmentation, and portfolio performance.

The individual must have a strong understanding of how predictive models work, impact collections strategies, and how to interpret their outputs to optimize recovery efforts.

The individual will be responsible for analyzing risk trends, evaluating collections effectiveness, and providing actionable insights to improve recoveries.

This position requires hands-on experience with SQL, Python (for data analysis), and statistical modeling concepts, as well as a thorough understanding of how underwriting decisions and collections operations impact Expected Credit Loss and overall portfolio risk.

Requirements

ECL Modeling & Forecasting :

• Analyze and interpret ECL models and forecasts, providing insights into expected recoveries and risk exposure.
• Utilize historical delinquency and recovery data to assess the accuracy of ECL projections and recommend refinements.
• Perform vintage analysis and roll-rate modeling to understand credit deterioration and its impact on collections risk.
• Support stress testing efforts to evaluate portfolio performance under different collections strategies and economic conditions.
• Monitor and assess loss provisioning trends, ensuring alignment between collections strategies and expected recoveries.

Understanding of Predictive Models & Strategy

Collaboration & Process Improvement :

Key Skills & Qualifications :

A. Experience :

B. Ownership of OKRs :

C. Previous Work :

D. Team Size Experience :

E. Growth Experience :

F. Technical & Analytical Skills :

G. Experience & Risk Management Expertise :

H. Communication & Stakeholder Engagement :

Benefits

Recruitment Process

Skills Required

Tableau, Sql, Power Bi, Python, Forecasting, Statistical Modeling, Machine Learning