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  • Posted: Feb 16, 2026
    Deadline: Not specified
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  • FairMoney is a digital platform in Nigeria that allows you access instant loans in a few minutes through our android app.
    Read more about this company

     

    Senior Collections Risk Analyst

    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.

    Responsibilities
    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.

    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.

    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.

    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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    Relationship Manager

    Roles and Responsibilities

    • S/he will be responsible for driving the Merchant Acquiring business across various merchant sectors (Supermarkets, Pharmacies, Filling Stations, Eateries & Restaurants, Lounges & Bars, and Hotels) within the region and developing strategies to increase sales revenue
    • Develop plans and strategic initiatives to grow the Merchant Acquisition business and achieve the company's sales goals
    • Manage and lead the Merchant Acquisition team within the region to deliver profitable growth
    • Daily, weekly, and monthly monitoring of the KPIs of the Merchant team within the assigned region is required, ensuring all targets are consistently met and exceeded
    • Drive the KAMs (Key Account Managers) to ensure they meet all KPIs for their respective teams
    • Meet target quotas for the region's set KPIs, including transaction value, volume, and revenue
    • Monitor market trends and provide regular competitor feedback to the Merchant Acquisition Manager
    • Have Strong understanding of the company's products and services is essential, with the ability to advise others effectively
    • Follow up with merchants, ensuring both active and inactive merchants are visited. Where necessary, they will facilitate the retrieval of POS terminals from inactive business partners within the region

    Requirements

    • Bachelor's Degree in Sales and Marketing or related fields
    • A minimum of 6 to 8 years of experience in the Merchant business
    • Must have an Android phone
    • Proven experience managing a high-performance sales team
    • Ability to motivate a team of Sales Managers for performance
    • Extremely flexible, result-oriented, and hardworking with a strong track record of success
    • Ability to self-motivate and manage self
    • Good communication and interpersonal skills
    • Customer orientation and ability to adapt/respond to different characters

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    Senior Product Manager - Banking

    Role Overview

    • The Senior Product Manager for our Neobanking division will play a crucial role in devising and implementing strategies for our banking products.
    • This position demands an expert understanding of digital banking trends, regulatory environments, and the unique financial needs within the African market.

    Key Responsibilities
    Product Strategy and Vision:

    • Craft a compelling product strategy for the Neobanking division that aligns with Fairmoneyʼs overarching business goals.
    • Scout and prioritize market opportunities to ensure our banking products are competitive and address the needs of a dynamic fintech environment.

    Product Roadmap Management:

    • Work collaboratively with teams across Engineering, Marketing, UX/UI Design, Data Analytics, and Operations to develop a cohesive and feasible product roadmap.
    • Continuously evaluate and adjust the roadmap in response to market shifts, consumer feedback, and strategic priorities.

    Customer Insights and Analysis:

    • Execute detailed market research and customer analyses to extract insights that inform product decisions and enhance customer engagement and satisfaction.
    • Leverage analytics to refine product features and ensure alignment with user expectations and business objectives.

    Product Development and Launch:

    • Supervise the entire product lifecycle from ideation to market launch, guaranteeing quality, compliance, and alignment with customer expectations.
    • Ensure seamless collaboration across functional teams to achieve product delivery within set timelines and budget.

    Risk Management and Compliance:

    • Coordinate closely with the Compliance and Risk management teams to ensure all banking products comply with legal standards and ethical norms.
    • Develop strategies to mitigate risks and secure the interests of both customers and the business.

    Performance Tracking and Optimisation:

    • Establish and monitor critical performance indicators to measure product success and market penetration.
    • Iterate and enhance product offerings based on rigorous analysis and customer feedback.

    Team Leadership and Development:

    • Lead, mentor, and build capabilities within the product management team to foster a culture of innovation and excellence.
    • Define clear team goals, offer consistent feedback, and support career development.

    Requirements

    • Bachelor's Degree in Business, Finance, Computer Science, or related field; Masterʼs preferred.
    • Extensive experience as a Product Manager Leader within the banking or fintech sectors.
    • Comprehensive understanding of digital banking products, including mobile banking, API-driven banking services, and customer engagement tools.
    • Strong analytical skills with a proficiency in data analysis tools such as SQL, Python, and Excel.
    • Deep familiarity with the Nigerian and broader African fintech landscapes; knowledge of local banking regulations and customer behaviors is highly advantageous.
    • Exceptional leadership and communication skills, with a proven ability to manage high-performing teams in a fast-paced environment.
    • Innovative and entrepreneurial mindset, with a commitment to hands- on problem-solving and a data-driven approach.

    go to method of application »

    Team Manager - Merchant Lending

    Job Summary

    • The Team Manager will Manage with effectiveness and efficiency a team portfolio of customers with the strict minimum risk acceptance level by selling the different products of the company.
    • The Por supervisor remains responsible of the portfolio activities of his/her team from promotion, loan assessment, disbursement collection and complete recovery.
    • He / she is also responsible for having a good relationship with FairMoney's clients and encourage them to buy all the products they are qualified for.

    Key Responsibilities
    Loan Officer Supervision:

    • Manage Team of Portfolio managers play a team leadership role that motivates team members to achieve excellence.
    • Ensure that individual loan officers on team meet monthly disbursement objectives.
    • Ensure that individual loan officers on team meet monthly quality targets by maintaining a very strict minimum risk level.
    • Monitor performance to make sure that every team member is performing to the optimum level and ensure that the policy and procedures are respected.
    • Conduct pre-disbursement field visits with loan officers on team.
    • Monitor daily repayment.
    • Support loan officers with loan recovery, client acquisition.
    • Approving loans when approval authorities are granted.
    • Assessing periodically the performance of his/her team member for decision making.
    • Support the area manager or the state manager in building a good working environment.
    • Represent the institution towards active and potential partners with dignity and pride.

    Training:

    • Provide regular training for loan officers on team.
    • Coach and mentor loan officers.

    Reporting:

    • Prepare daily reports on individual loan officer performance.
    • Other tasks as assigned.

    Requirements

    • HND qualification / Bachelor's Degree in Sales and Marketing or related fields.
    • A minimum of 6 years of experience in Loan Sales / Portfolio Management and team management.
    • Ability to motivate a team of Sales Managers for performance.
    • Extremely flexible, result-oriented, and hardworking with a strong track record of success.
    • Ability to self-motivate and manage self.
    • Good communication and interpersonal skills.
    • High level of integrity.
    • Dynamic and motivated and individuals who like to work outdoors.
    • Target Driven.

    Method of Application

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