Portfolio Monitoring & Risk Control

• Monitor overdue loan accounts and flag early warning
• Track PAR (Portfolio at Risk) across different aging categories g Watch, Substandard, Doubtful and loss
• Ensure accurate recovery records and timely updates in the

Supervision & Team Support

• Assist the Head of Collections & Recovery in supervising recovery officers, investigators, and external agents.
• Provide field support in difficult recovery
• Train and mentor junior staff on collection strategies, customer handling, and

Debt Recovery & Negotiation

• Oversee day-to-day recovery operations, ensuring adherence to
• Engage directly with delinquent clients through calls, visits, and
• Negotiate repayment plans, restructuring, or settlements where
• Escalate cases to legal or external agencies when

Reporting & Compliance

• Prepare daily, weekly, and monthly recovery reports for
• Track recovery KPIs (recovery rate, PAR reduction, write-offs, CRB listings, ).
• Ensure compliance with internal policies, legal frameworks, and regulatory
• Liaise with legal, credit, and risk departments on recovery-related

Strategy & Process Improvement

• Recommend new recovery strategies (digital collections, incentives, penalties).
• Support in developing policies to reduce delinquency and improve collection
• Contribute to process automation (dashboards, MIS, reminders).

• 3–5 years’ experience in credit recovery/collections within a financial
• Proven track record in debt recovery, portfolio monitoring, and team coordination.
• Experience handling legal recovery processes (court, collateral realization).

• Proficiency in loan management systems & MS Office (Excel, Word, PowerPoint).
• Strong reporting and analytical skills (dashboard preparation, data interpretation).
• Familiarity with regulatory guidelines on collections and

• Excellent negotiation and conflict resolution
• Strong communication (written & verbal) and customer
• Leadership qualities with ability to supervise and motivate a
• Integrity, resilience, and ability to work under

We are seeking a highly skilled and detail-oriented Data Analyst to join our Operations team. The successful candidate will be responsible for collecting, interpreting, and analyzing data to provide actionable insights that support business decisions. This role involves data accuracy, timely reporting, process optimization, and the development of data-driven solutions that enhance organizational efficiency.

Data Accuracy & Quality

• Interpret data and transform it into actionable business
• Ensure database efficiency, secure data storage, and effective
• Leverage tools such as Tableau, Power BI, and Excel for reporting and

Data Timeliness

• Build analytical models to forecast performance, identify trends, and propose
• Estimate project timelines, break down tasks, and ensure timely report
• Maintain appropriate documentation for data analysis

Data Completeness

• Generate detailed reports highlighting organizational strengths, weaknesses, and
• Provide comprehensive data-driven solutions across multiple sources and business areas.
• Develop automated data processes and lifecycle management for online and offline use.

Teamwork & Leadership

• Mentor and guide team members to achieve and exceed performance
• Conduct departmental training on data processes and analytics best
• Ensure compliance with data privacy regulations and company

Compliance & Continuous Improvement

• Formulate and execute new internal process flows and
• Conduct regular audits to ensure productivity and compliance across all

Education:

• Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or Finance.

Certifications (an added advantage):

• Google Data Analytics Professional Certificate
• Microsoft Certified: Data Analyst Associate
• IBM Data Science Professional Certificate
• SAS Data Scientist
• Tableau Desktop Specialist

• 3–5 years’ experience in Data Analysis, Business Intelligence, or a similar role.
• Proven track record in analyzing large datasets and developing actionable

• Proficiency in SQL and Excel for data manipulation and
• Experience with Python (especially data analysis libraries such as Pandas, NumPy, etc.).
• Strong knowledge of data visualization tools such as Tableau or Power

• Critical and strategic thinker with strong problem-solving
• Excellent communication and presentation
• High attention to detail, adaptability, and
• Strong project management and teamwork