Data Analyst, Collections & Risk at FairMoney Nigeria Full Time

Job Title: Data Analyst, Collections & Risk

Location: Lagos
Employment Type: Full-time

About the Role

• You will be working as a Collections Analyst in the Risk department and will be responsible for driving the growth of our portfolio in Nigeria.
• Your mission is to ensure portfolio performance according to the company OKRs, offering the best-tailored credit services to as many clients as possible.
• Your goal is to build FairMoney as a Tier 1 digital lender in Nigeria and you will be a key Business Partner to achieve the same.
• As the Collections Analyst for the Nigerian business, you will be part of a team that plays a critical role in managing FairMoney’s ability to grow in the market.
• You will be one of the key stakeholders and contributors in decisions revolving around the business and product strategies.

Role and Responsibilities

• Assist in the development of collections strategy
• Strategic campaign planning and optimization of new and existing collections models
• Utilize data sets to perform analytics and propose solutions
• Own the main portfolio metrics – default rates, acceptance rates, and profitability
• Collaborate with Data Science, Debt Collection, and Growth teams on a daily basis
• Work closely together with the Product and Engineering team on improvements for the lending product
• Build, improve, and maintain the credit risk policy for Nigeria that will allow growth of the portfolio according to company OKRs
• Communicate the performance results and other findings with the respective stakeholders
• Keep up to date with the company’s lending protocols
• Benchmarking current risk practices against those stipulated within business units
• Implementing the best possible methodologies in improving the credit performance, considering the risk associated, yet offering the prime credit facility.

Requirements

• At least 2 years experience with exposure to Fintech / retail banking credit risk (consumer loans) / NBFCs
• Expert in credit risk analysis/underwriting principles, methods, and practices
• Proficient SQL user, with reasonable experience with BI tools like Tableau, PowerBI, or similar
• Strong quantitative analysis experience
• Strong attention to detail and ability to notice discrepancies in data
• Impeccable understanding of financial statements, ratios, and concepts
• Strong communication skills.

Application Closing Date
Not Specified.