Portfolio Analyst Consumer Lending at FairMoney · Lagos

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.

FairMoney thrives on its diverse workforce, bringing together talents from over 27 nationalities. This multicultural team drives the company’s mission of reshaping financial services for underserved communities. To gain deeper insights into FairMoney’s pivotal role in reshaping Africa’s financial landscape, we invite you to watch an informative video.

Role purpose

The Portfolio Analyst will provide dedicated portfolio analytics for the Consumer Lending Risk team, enabling timely visibility into portfolio performance, early identification of emerging risks, and data-driven credit and portfolio decisions as the business scales.

Key Responsibilities:

• Monitor performance across applications, approvals, disbursements, repayments, delinquency, collections, and recoveries.
• Analyse portfolio vintages and key risk metrics, including first payment default, early delinquency, PAR and DPD, rollm rates, cure rates, defaults, recoveries and credit loss trends.
• Perform segmentation analysis by risk grade, customer profile, product, loan amount, tenor, pricing, acquisition channel and other relevant dimensions.
• Monitor the end-to-end lending funnel and identify the drivers of approval, conversion, utilisation and portfolio performance.
• Build, automate and maintain Tableau dashboards for Risk, management and other relevant stakeholders.
• Assess the impact of changes to credit rules, limits, pricing, underwriting and product strategies through cohort, vintage and policy-impact analysis.
• Identify emerging portfolio risks, investigate root causes and recommend appropriate actions or areas for intervention.
• Track collections performance and collaborate with Collections to understand delinquency movements, treatment effectiveness and recovery outcomes.
• Support portfolio forecasting, risk appetite monitoring, performance reviews and periodic management and credit reporting.
• Partner with Product, Data and BI, Engineering, Underwriting and Collections to improve data availability, quality and reporting.

Key Performance Indicators:

• Timeliness, accuracy and reliability of portfolio dashboards and reports.
• Speed of identification and escalation of emerging portfolio risks.
• Coverage and automation of recurring portfolio reporting.
• Quality and actionability of insights and recommendations.
• Turnaround time for priority portfolio analyses.
• Consistency of metric definitions and reconciliation with source data.

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or a related discipline.
• At least 3 years of relevant experience in consumer lending, fintech, retail credit, portfolio risk, or credit analytics.
• Demonstrated experience analysing loan portfolio performance and the lending lifecycle from application and underwriting through repayment, delinquency, and collections.
• Hands-on experience building and maintaining Tableau dashboards.
• Experience analysing credit bureau data and affordability, income or salary-verification signals is an advantage.
• Strong SQL and data-analysis skills; proficiency in Excel is required.
• Experience with Python or another analytical language is an advantage.

Knowledge and capabilities

• Strong understanding of consumer credit risk, portfolio monitoring and lending economics.
• Working knowledge of vintage analysis, PAR and DPD, roll rates, cure rates, defaults, recoveries and loss trends.
• Ability to interrogate large datasets, validate results and translate findings into clear business actions.
• Strong problem-solving skills, attention to detail and sound commercial judgement.
• Ability to communicate analytical findings clearly to technical and non-technical stakeholders.
• Ability to manage priorities independently in a fast-paced, cross-functional environment.

• Private Health Insurance.
• Performance Bonus.
• Pension Plan.
• Training & Development.

Recruitment Process:

• A screening call with a member of the recruitment team for 30 minutes.
• Technical interview with the hiring manager for 30 to 60 minutes.