Lead Risk Manager

Fairmoney Collections Manager

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.

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.

The ideal candidate for this role will be a highly skilled and strategic individual who can oversee the collections lifecycle, develop analytics and strategies for optimizing recovery rates, and effectively manage a team. They will combine deep analytical capabilities with a strong understanding of ECL (Expected Credit Loss) modeling, cohort analysis, and collections operations. The role requires a balance of high-level strategic thinking and the ability to dive deep into the math and execution of data-driven decisions. The person must have experience managing people and optimizing the recovery processes, while ensuring effective communication across various departments (e.g., call centers, underwriting, collections). This individual must think like a systems engineer to isolate variables impacting recovery performance and create actionable solutions.

Key Responsibilities :

A. Analytics and Strategy Development :

• Lead the analytics and strategy for optimizing collections processes across the unsecured lending portfolio.
• Develop, maintain, and refine ECL models (Expected Credit Loss) to predict and optimize recovery rates.
• Use cohort analysis and book analysis to assess performance, measure recovery effectiveness, and adjust strategy based on trends.
• Drive A / B testing, test-learn-iterate approaches to improve collections strategies, optimizing both short-term recovery and long-term customer relationships.
• Understand how different data dimensions affect each other and synthesize findings to create actionable insights.

B. Modeling & Data Analytics :

C. Team Management & Optimization :

D. Strategic Oversight & Process Improvement :

E. Collaboration & Stakeholder Communication :