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  • Posted: Aug 8, 2025
    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

     

    Portfolio Manager

    Key Responsibilities
    Pre-loan disbursement:

    • Promote/Market FairMoney's products to prospective clients by using all the channels possible
    • Visit and evaluate potential clients businesses
    • Visit client's personal house when it's necessary
    • Visit co-debtor's, guarantor's houses and businesses when it's required
    • Analyze financial data of client's businesses
    • Analysis of quantitative and qualitative data of client's businesses and households
    • Prepare loan documents for credit committee
    • Present loan files to credit committee
    • Enter Loan files in the MIS
    • Represent FairMoney towards all active and potential partners with dignity and pride
    • Fulfill all other necessary assignments by the institution.

    Post-Loan Disbursement:

    • Conduct monitoring visits to business and households
    • Follow- up on day-to-day loan repayments
    • Manage loan recovery from active and written-off clients until full reimbursement is achieved
    • Assess the impact of loan before renewal.

    Requirements

    • HND/Bachelor's Degree in Sales and Marketing or related fields
    • A minimum of 4 years of experience in Loan Sales / Portfolio 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.

    Benefits

    • Private Health Insurance
    • Performance Bonus
    • Pension Plan
    • Training & Development.

    go to method of application »

    iOS Engineer

    Key Responsibilities
    Pre-loan disbursement:

    • Promote/Market FairMoney's products to prospective clients by using all the channels possible
    • Visit and evaluate potential clients businesses
    • Visit client's personal house when it's necessary
    • Visit co-debtor's, guarantor's houses and businesses when it's required
    • Analyze financial data of client's businesses
    • Analysis of quantitative and qualitative data of client's businesses and households
    • Prepare loan documents for credit committee
    • Present loan files to credit committee
    • Enter Loan files in the MIS
    • Represent FairMoney towards all active and potential partners with dignity and pride
    • Fulfill all other necessary assignments by the institution.

    Post-Loan Disbursement:

    • Conduct monitoring visits to business and households
    • Follow- up on day-to-day loan repayments
    • Manage loan recovery from active and written-off clients until full reimbursement is achieved
    • Assess the impact of loan before renewal.

    Requirements

    • HND/Bachelor's Degree in Sales and Marketing or related fields
    • A minimum of 4 years of experience in Loan Sales / Portfolio 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.

    Benefits

    • Private Health Insurance
    • Performance Bonus
    • Pension Plan
    • Training & Development.

    go to method of application »

    Talent Specialist

    Role Overview

    • We are looking for a Talent Specialist to join our team and monitor all Human Resources functions.
    • To be successful in this role, the hire should have a good understanding of performance management systems and solid knowledge of Learning and Development.
    • Ultimately, the role is expected to foster a healthy workplace by ensuring HR procedures run smoothly at all times.

    Key Responsibilities

    • Implement training and development plans
    • Develop, implement, and oversee performance management policies, procedures, and systems to ensure consistency and fairness across the organization
    • Collaborate with HR business partners and departmental managers to establish performance standards, goals, and expectations for each role
    • Train managers and employees on performance management processes, including setting SMART goals, providing constructive feedback, and conducting performance evaluations
    • Provide guidance and support to managers in addressing performance issues, identifying development opportunities, and implementing performance improvement plans
    • Coordinate the annual performance review cycle, including scheduling, communication, and data collection
    • Create and execute learning strategies and programs
    • Evaluate individual and organizational development needs
    • Implement various learning methods companywide (e.g. coaching, job-shadowing, online training)
    • Design and deliver e-learning courses, workshops, and other trainings
    • Develops and implements a learning strategy and program that is aligned with the organization's objectives
    • Has a full understanding of the various business units and their specific training requirements
    • Assess the success of development plans and help employees make the most of learning opportunities.

    Requirements

    • Interested candidates should possess a B.Sc / M.Sc Degree in Human Resources or relevant fields with 4-5 years with proven work experience as a HR Generalist
    • Hands-on experience with Human Resources Information Systems (HRIS), as well as Learning Management Systems
    • In-depth knowledge of performance management principles, methodologies, and best practices
    • Excellent verbal and written communication skills
    • Good problem-solving abilities
    • Familiarity with e-learning platforms and ability to design and produce relevant training materials including e-learning courses
    • High level of professionalism, integrity, and discretion in handling confidential information.

    Benefits

    • Private Health Insurance
    • Performance Bonus
    • Pension Plan
    • Training & Development.

    go to method of application »

    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.

    Benefits

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

    Method of Application

    Use the link(s) below to apply on company website.

     

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