Responsibilities:

• Document and perform preliminary analysis of collections and receivables management processes to improve transparency and understanding of delinquency behavior.
• Prepare documentation and reports on financial, statistical, and probabilistic models related to customer payment behavior and credit performance.
• Calculate, monitor, and document key performance indicators (KPIs) for collections and receivables management.
• Analyze and document the outcomes of various business scenarios and provide data-driven recommendations to support decision-making.
• Assist in the preparation of analytical reports, dashboards, and management presentations.
• Collaborate with cross-functional teams to ensure data accuracy and consistency in reporting.

Qualifications & Requirements:

• Basic understanding of finance concepts, time value of money, and cash flow analysis.
• Basic knowledge of statistics, probability, and analytical modeling techniques.
• Proficiency in Microsoft Excel.
• Familiarity with Python and SQL programming languages.
• Basic understanding of Artificial Intelligence (AI) concepts and applications.

• Strong analytical and problem-solving skills.
• Ability to document processes and communicate analytical findings in a clear and understandable manner.
• Attention to detail and a structured approach to work.
• Strong written and verbal communication skills.

Education:

• Bachelor's degree or final-year student in Financial Engineering, Industrial Engineering, Economics, Statistics, Mathematics, Data Science, or a related field.