Employer and vacancy source: Talent House Ltd
Zambia Job Alerts publishes the vacancy details and application instructions for this listing. Use the employer details, deadline and application section below to verify the opportunity before applying.
- EmployerTalent House Ltd
- LocationLusaka
- Employer websitezambiajobalerts.com
- Application methodEmail application
- Listing sourceZambia Job Alerts
Key details for this vacancy
- Employer
- Talent House Ltd
- Location
- Lusaka
- Posted
- July 14, 2026
- Job type
- Contract
- Category
- IT & Telecoms
- Application method
- Email application
Job description
About Talent House Ltd:
We are a leading recruitment and HR consulting firm that operates as a link between people and companies in achieving a shared purpose. We offer creative, effective and flexible solutions that not only help individuals discover their career paths but provide organizations with talent they can recruit, develop and retain.
About the role:
Mighty Fin is seeking a highly analytical Credit Risk Analyst with direct experience in digital lending, microfinance risk management, and credit analytics. This is not an entry-level analyst role. The candidate must already understand how to manage fast-moving lending portfolios in emerging markets and should be comfortable working with alternative data, behavioral scoring, fraud monitoring, and delinquency analytics.
Key Responsibilities:
- Monitor and optimize portfolio risk performance
- Conduct borrower and sector risk analysis
- Support credit policy refinement and scorecard development
- Analyze repayment behavior and delinquency trends
- Detect fraud patterns and suspicious lending behavior
- Produce risk dashboards and portfolio reporting for management
Desired Skills and Experience
- Minimum 3–5 years experience in:
- Microfinance
- Digital lending
- Banking risk
- Fintech credit operations
- Strong understanding of:
- PAR analysis
- Vintage analysis
- Roll rates
- Collections analytics
- Fraud risk monitoring
- Credit scoring methodologies
- Experience analyzing unsecured consumer or SME lending portfolios
- Experience working with high-volume loan books
- Ability to independently identify portfolio deterioration trends and recommend corrective action
- Strong Excel skills required
- Experience with SQL, Power BI, Python, or analytics systems is a strong advantage
Compensation:
The incumbent will receive a competitive salary commensurate with experience.
To Apply:
Please send your CV to careers@talenthousepeople.com before the 28th of July, 2026.
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