Responsibilities

• Risk & Credit Analysis: Develop, test, and maintain credit scoring models to evaluate applicant creditworthiness and predict loan default risks.
• Data Mining & Reporting: Extract data from various banking systems using SQL to generate dashboards and reports on loan portfolio performance, revenue collections, and cash flow.
• Process Optimization: Analyze customer behavior and transaction patterns to optimize the lending lifecycle—from application to recovery—thereby reducing turnaround time and operational costs.
• Fraud Detection: Use analytical techniques to detect anomalous activity or potential fraud in real-time lending transactions.
• Compliance Monitoring: Ensure all lending activities comply with relevant financial regulations through data validation

Technical Proficiencies:

• High proficiency in SQL (mandatory) and statistical languages like Python or R for data manipulation.

Visualization Tools:

• Experience building dashboards using Tableau, Power BI, or similar BI tools.

Domain Knowledge:

• Understanding of financial services, lending procedures, credit bureau reports, and debt recovery processes.

Analytical Mindset:

• Strong statistical and mathematical skills to analyze trends and create predictive financial models

• Risk & Credit Analysis: Develop, test, and maintain credit scoring models to evaluate applicant creditworthiness and predict loan default risks.
• Data Mining & Reporting: Extract data from various banking systems using SQL to generate dashboards and reports on loan portfolio performance, revenue collections, and cash flow.
• Process Optimization: Analyze customer behavior and transaction patterns to optimize the lending lifecycle—from application to recovery—thereby reducing turnaround time and operational costs.
• Fraud Detection: Use analytical techniques to detect anomalous activity or potential fraud in real-time lending transactions.
• Compliance Monitoring: Ensure all lending activities comply with relevant financial regulations through data validation

• High proficiency in SQL (mandatory) and statistical languages like Python or R for data manipulation.
• Experience building dashboards using Tableau, Power BI, or similar BI tools.
• Understanding of financial services, lending procedures, credit bureau reports, and debt recovery processes.
• Strong statistical and mathematical skills to analyze trends and create predictive financial models

• Diploma
• 2 years of experience