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Corporate Staffing Services
Payg Lpg Credit Manager

Corporate Staffing Services

Nairobi | Full Time | Finance

Closing in 6 days from now

PAYG LPG Credit Manager Job. Finance Jobs In Kenya

Responsibilities

Portfolio health & ARPU improvement

  • Analyze portfolio performance to identify drivers of low ARPU and design interventions to improve customer payment behavior, product utilization, and retention.
  • Collaborate with sales and customer success teams to implement customer-level interventions that address payment issues, product usage gaps, or operational challenges.
  • Monitor cohort performance and develop predictive insights to inform sales, marketing, and credit strategies.

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Asset Recovery

  • Lead design and execution of field recovery operations to reclaim LPG cylinders and equipment from churned or non-paying customers.
  • Build efficient recovery playbooks that balance cost, customer experience, and asset protection.
  • Work with field teams to track recovery KPIs and implement continuous improvement.

Reporting & Compliance

  • Monitor and report on key credit risk indicators, recovery rates, and portfolio performance metrics.
  • Ensure compliance with company credit policies and relevant regulatory standards.
  • Prepare actionable field reports that inform operational adjustments and leadership decision making.

Qualifications & Experience

  • Bachelor’s degree in Business, Credit Management, Operations, or a related field.
  • 5+ years experience in credit risk, field operations, or asset recovery — experience in PAYG, microfinance, or asset leasing models strongly preferred.
  • Proven track record driving field-based credit performance improvement.
  • Experience working in emerging markets, preferably in rural or peri-urban settings.

Personal Attributes

  • Excellent problem-solving and execution skills.
  • Strong leadership and people management skills.
  • Willingness and ability to spend significant time (50-70%) in the field.
  • High level of integrity, discretion, and professionalism.
  • Data-driven decision making.

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How to Apply

Click here to apply

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