Data Analyst – Collections & Risk at Fairmoney Microfinance Bank

Data Analyst - Collections & Risk

 

 

About FairMoney

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. Reconciliation and Dispute specialists provide accounting support to major financial accounting areas, reconciling payments to ensure the accounting system reflects the correct transactions.

 

We are recruiting to fill the position below:

Job Title: Data Analyst – Collections & Risk
Location: 
Lagos (Hybrid)
Employment Type: Full Time

 

Job Summary

  • 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 Fair Money’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.

 

Roles 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 collections performance metrics– recovery rates, roll rates, dialler metrics, collections operational metrics
  • Collaborate with Collections Operations team on a daily basis.
  • Communicate the performance results and other findings with the respective stakeholders
  • Design and implement experiments to optimize recoveries.
  • Implementing the best possible methodologies in improving collections performance.

 

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.

 

Recruitment Process

  • Screening interview with a Senior Recruiter- 30 minutes.
  • Technical Assessment
  • Technical Interview with the Lead Risk Manager for 45-60 minutes.

 

How to Apply

Interested and qualified candidates should Click on ‘apply now’ below.
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