Role overview
What you'll be stepping into
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).
How to apply