Jobs

Latest Jobs at FairMoney

  • Contents
  • Open Jobs
    1. Senior Accountant
    2. Head of Procurement
    3. Senior Collections Risk Analyst
    4. Relationship Manager
  • Method of Application

Latest Jobs at FairMoney

Senior Accountant

  • Job Type Full Time
  • Qualification BA/BSc/HND
  • Experience 5 years
  • Location Lagos
  • Job Field Finance / Accounting / Audit&nbsp

Job Summary

  • The Finance department at FairMoney is a key component in this mission to provide banking services to all consumers across emerging markets.
  • Finance drives the reporting, the strategic analysis and the financial operations to make FairMoney’s mission possible. We are currently looking for a senior accountant:

Key Responsibilities
Monthly Management Reporting:

  • Review monthly management report prepared by accountants and sign off.
  • Ensure there are relevant schedules supporting the items on the financial statement
  • Investigate and explain variances

Taxation:

  • Update tax policies as may be required
  • Ensure PAYE, Pension, WHT and VAT are appropriately deducted and remitted
  • Manage the current income and deferred tax computation with the support of consultants
  • Carry out tax planning and arrange transaction to ensure tax burden is optimized
  • Manage tax audits and desk reviews with the support of consultant
  • Ensure annual and monthly filings are done on or before due dates

Finance Operation:

  • Carry out cash planning to ensure that expenses and obligations are met as at when needed
  • Ensure excess cash are passed to the Treasurer for investment
  • Update Standard Operating Procedures (SOP) and accounting policy manuals as may be required
  • Manage the transaction processing team and ensure transactions are treated timely.

Year End Close/Statutory Audits:

  • Support year end close and annual statutory audit.

Requirements

  • Bachelor’s degree in finance, accounting, or a related field.
  • ACCA or ICAN professional certification is an added advantage
  • Have an advanced Microsoft Excel Skills
  • Have a minimum of five (5) years of experience in audit or financial service industry
  • Strong experience in tax practice will be an added advantage
  • Be an effective team player with a positive attitude
  • Must be able to work without supervision.

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Method of Application

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 Expected Credit Loss and overall portfolio risk.

Requirements
ECL Modeling & Forecasting:

  • 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 efforts 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.

Collections Performance Analytics & Risk Segmentation:

  • Analyze cohort performance, delinquency trends, and borrower segmentation to optimize collections strategies.
  • Evaluate the effectiveness of existing collections treatment paths, identifying areas for improvement.
  •  Assess the impact of credit underwriting decisions on collections outcomes, ensuring alignment between risk assessment and recovery strategies.
  • Support the design and execution of A/B testing for different collections approaches, using data to recommend optimal strategies.
  • Monitor roll rates and transition matrices to detect early signs of delinquency risk and recommend intervention strategies.

Understanding of Predictive Models & Strategy:

  • Interpret the outputs of propensity-to-pay models and predictive risk models, using insights to refine collections outreach.
  • Work closely with data science teams to understand how machine learning models assess 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, ensuring proactive collections intervention before delinquency worsens.
  • Collaborate with strategy teams to refine contact strategies based on predictive insights, improving recovery rates.

Collaboration & Process Improvement:

  • Work closely 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.

Experience & Risk Management Expertise

  • 3+ years of experience in collections analytics, credit risk, or a related data-driven role.
  • Strong track record in forecasting delinquency trends and optimizing loss provisioning strategies.
  • Experience working with ECL models, understanding their inputs, outputs, and business implications.
  • Understanding of underwriting policies and how they influence collections risk and recovery strategies.
  • Experience in A/B testing for collections strategy optimization.
  • Strong ability to interpret predictive model outputs and apply insights to optimize collections operations.

Key Skills & Qualifications: Technical & Analytical Skills:

  • Advanced proficiency in SQL and Python for data extraction, manipulation, and analysis.
  • Strong expertise in Expected Credit Loss (ECL) modeling, loss forecasting, and provisioning calculations.
  • Familiarity with statistical modeling, machine learning outputs, and predictive analytics in a credit risk or collections setting.
  • Understanding of vintage analysis, roll-rate modeling, and transition matrices for delinquency risk assessment.
  • Experience with Power BI, Tableau, or similar visualization tools to present collections insights effectively.
  • Knowledge of IFRS 9 and other credit risk regulatory frameworks affecting ECL calculations.

Communication & Stakeholder Engagement:

  • Strong ability to translate complex data findings into actionable recommendations for senior leadership.
  • Experience working cross-functionally with finance, risk, and collections operations teams.
  • Ability to present technical insights in a clear, non-technical manner to business stakeholders.
  • Strong written and verbal communication skills to drive alignment on collections risk strategy.

Desired Traits:

  • Highly Analytical: Strong problem-solving skills with the ability to break down complex data into actionable insights.
  • Detail-Oriented: Ensures accuracy in reporting and forecasting to minimize risk exposure.
  • Proactive: Continuously seeks ways to improve ECL forecasting, risk segmentation, and collections efficiency.
  • Results-Driven: Focused on optimizing recovery rates and minimizing losses through data-driven strategy execution.
  • Adaptable: Thrives in a fast-paced, dynamic environment where collections and risk strategies evolve rapidly.

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