Credit Operations Manager

• Bachelor's degree in Business Administration, Finance, or a related field; a Master's degree is a plus.
• A minimum of 4 years of experience in credit operations management within the fintech, banking, or financial services sector.
• Strong understanding of lending processes, documentation requirements, and credit risk management.
• Proficiency in using loan management software, data analysis tools, and Microsoft Office applications.
• Familiarity with Tanzanian lending regulations, data protection laws, and industry best practices.
• Excellent organizational and project management skills to effectively manage multiple tasks and priorities.
• Strong communication skills to interact with team members, stakeholders, and external partners.

Benefits:

• Competitive compensation package and performance-based incentives.
• Opportunity to play a key role in shaping and optimizing credit operations within a dynamic fintech environment.
• Comprehensive health insurance
• Career growth opportunities through ongoing training and skill development.
• Collaborative work environment that values innovation and process improvement.

• Bachelor's degree in Business Administration, Finance, or a related field; a Master's degree is a plus.
• A minimum of 4 years of experience in credit operations management within the fintech, banking, or financial services sector.
• Strong understanding of lending processes, documentation requirements, and credit risk management.
• Proficiency in using loan management software, data analysis tools, and Microsoft Office applications.
• Familiarity with Tanzanian lending regulations, data protection laws, and industry best practices.
• Excellent organizational and project management skills to effectively manage multiple tasks and priorities.
• Strong communication skills to interact with team members, stakeholders, and external partners.

Benefits:

• Competitive compensation package and performance-based incentives.
• Opportunity to play a key role in shaping and optimizing credit operations within a dynamic fintech environment.
• Comprehensive health insurance
• Career growth opportunities through ongoing training and skill development.
• Collaborative work environment that values innovation and process improvement.

1. Loan Application Processing:
   • Lead and manage the end-to-end loan application process, ensuring timely and accurate processing of applications from submission to approval or decline.
   • Review application documentation, verify data accuracy, and liaise with underwriting teams to facilitate informed lending decisions.
2. Documentation Management:
   • Ensure all required loan documentation is collected, validated, and maintained in compliance with regulatory standards and company policies.
   • Implement and enforce document retention policies to support effective record-keeping.
3. Process Optimization:
   • Continuously assess credit operations workflows and procedures to identify areas for improvement and implement streamlined processes.
   • Collaborate with technology teams to automate and digitize manual processes, enhancing operational efficiency.
4. Quality Control and Compliance:
   • Implement quality control measures to ensure accurate and consistent processing of loan applications and documentation.
   • Ensure compliance with lending regulations, data privacy laws, and internal policies throughout the credit operations process.
5. Team Management and Training:
   • Manage a team of credit operations professionals, providing training, performance feedback, and guidance to ensure high-quality output.
   • Foster a collaborative and productive team environment.
6. Vendor Management:
   • Collaborate with external vendors and partners involved in credit operations, such as credit bureaus and document verification services, to maintain strong working relationships.
7. Reporting and Analysis:
   • Generate regular and ad hoc reports on credit operations performance, including application processing times, document accuracy, and other relevant KPIs.
   • Analyze data to identify trends, bottlenecks, and areas for improvement.