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Senior Credit Risk Analyst

Senior Credit Risk Analyst

FairMoneyWorkFromHome, South Africa
7 hours ago
Job description

Overview

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

FairMoney is actively constructing a mobile banking platform and point-of-sale (POS) solution for emerging markets. The journey began with a digital microcredit application available on Android and iOS. Today, FairMoney offers a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and POS solutions for 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 ECL and overall portfolio risk.

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Responsibilities

  • 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 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.
  • Interpret outputs of propensity-to-pay and predictive risk models to refine collections outreach.
  • Collaborate with data science teams to understand machine learning model outputs and their impact on collections risk and borrower behavior.
  • Leverage model-driven insights to enhance borrower segmentation, call center efficiency, and digital engagement strategies.
  • Identify leading indicators of non-repayment and enable proactive collections intervention.
  • Work with strategy teams to refine contact strategies based on predictive insights to improve recovery rates.
  • Collaborate with finance, risk, and collections operations teams to ensure accurate forecasting and risk assessment.
  • Provide data-driven recommendations to improve collections efficiency, reduce cost to collect, and enhance customer engagement.
  • Develop automated reporting and dashboards for tracking collections KPIs, recovery rates, and delinquency trends.
  • Support the Collections Analytics Manager in refining risk models and implementing strategy improvements based on data insights.
  • Evaluate and recommend new data sources to improve collections risk analysis and forecasting accuracy.

Qualifications

A. Experience :

  • 3-5 years in consumer lending risk, credit analytics, or data science roles.
  • Exposure to at least two stages of the credit lifecycle (e.g., underwriting + portfolio monitoring).

    • B. Ownership of OKRs :

  • Delivery of specific portfolio KPIs (e.g., DPD 30+ %, approval rate uplift, loss ratio reduction).
  • A / B test execution and analysis under direction of lead / manager.

    • C. Previous Work :

  • Built and maintained risk monitoring dashboards.
  • Supported scorecard development or cut-off changes.

    • D. Team Size Experience :

  • Worked in small-to-medium analytics or risk teams; may have mentored junior analysts.

    • E. Growth Experience :

  • Contributed analytics to launching new products or markets.

    • F. Technical & Analytical Skills :

  • Advanced proficiency in SQL and Python for data extraction, manipulation, and analysis.
  • Familiarity with statistical modeling, machine learning outputs, and predictive analytics in credit risk or collections.
  • Understanding of vintage analysis, roll-rate modeling, and transition matrices for delinquency risk assessment.
  • Experience with Power BI, Tableau, or similar visualization tools.
  • Knowledge of IFRS 9 and other credit risk regulatory frameworks affecting ECL calculations.

    • G. Experience & Risk Management Expertise :

  • Forecasting delinquency trends and optimizing loss provisioning strategies.
  • Experience with ECL models and understanding their inputs, outputs, and business implications.
  • Understanding of underwriting policies and their influence on collections risk.
  • Experience in A / B testing for collections strategy optimization.
  • Ability to interpret predictive model outputs and apply insights to optimize collections operations.

    • H. Communication & Stakeholder Engagement :

  • Translate complex data findings into actionable recommendations for senior leadership.
  • Work cross-functionally with finance, risk, and collections operations teams.
  • Present technical insights clearly to business stakeholders.
  • Strong written and verbal communication skills to drive alignment on collections risk strategy.

    • Benefits

  • Private Health Insurance
  • Pension Plan
  • Training & Development
  • Hybrid work
  • Paid Time Off

    • Recruitment Process

  • Screening interview with a Senior Recruiter - 1 hour
  • Technical Interview with Hiring Manager - 1 hour
  • Business and Final Interview with Chief Risk Officer - 1 hour

    • Additional details

  • Seniority level : Mid-Senior level
  • Employment type : Full-time
  • Job function : Analyst
  • Industries : Non-profit Organizations and Primary and Secondary Education

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