Credit Department,Uganda.MIS and Reporting Officer

KEY RESPONSIBILITIES

• Generate the provisions report and submit to management on timely basis.
• Design, develop, and maintain MIS reports for the Credit Department, ensuring accuracy, completeness, and timeliness
• Provide regular reports to management on credit portfolio performance, delinquency trends, and risk exposure.
• Analyze and identify trends, anomalies, and areas for improvement in credit data.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) for the credit portfolio.
• Identify and highlight potential credit risks and recommend mitigation strategies.
• Ensure compliance with regulatory requirements related to credit reporting and data submission.
• Monitor data integrity and identify irregularities for correction.
• Prepare the weekly, monthly, and quarterly BOU reports/schedule for onward forwarding to Central Bank.

• Collaborate with various departments to gather requirements and deliver high-quality reports and analysis.

  DAILY RESPONSIBILITIES

• Generating System reports and send to the concerned users to ensure auctioning and decision making.
• Maintaining dashboards and reports to track key performance indicators (KPIs) for the credit portfolio.

• Validation of reports generated from the system/data warehouse through data integrity checks.

  CHALLENGES: 

• Systems in place are inadequate to support Accurate and Timely reporting, so a lot of manual intervention is applied to achieve the desired results.

  REQUIREMENTS

• Bachelor’s degree in business administration, Finance, Commerce, Statistics or a related field.
• Minimum 2-3 years of experience in MIS reporting and data analysis, preferably in the banking sector.
• Strong analytical and problem-solving skills.
• Proficiency in MIS tools, databases (e.g., SQL), and data analysis software (e.g., Excel, Tableau, Power BI).
• Excellent communication and interpersonal skills.

• Ability to work under pressure and meet deadlines.

  PREFERRED SKILLS

• Knowledge of banking operations, credit risk management and IFRS9.
• Certification in data analysis or related field (e.g., Certified Data Analyst).
• Experience with programming languages (e.g., Python, R).