Key Skills & Competencies:
1. Bachelor's degree in Data Science, Mathematics, Statistics, Finance, Economics, Computer Science, or a related field. A Master's degree (Business Analytics, Financial Engineering, or Business Administration with a strong data focus) would be a plus but not mandatory.
2. 5-7 years of experience in data analytics, debt collection analytics, business data anlaytics, preferably in debt management, banking, financial services, or fintech.
Or similar experience about:
• Credit Risk Analyst - Experience in loan performance, risk modeling, and delinquency analysis.
• Collections Strategy Analyst - Direct knowledge of debt recovery, customer segmentation, and repayment behaviors.
• Financial
Data Analyst / Fintech
Data Scientist - Strong in financial modeling, data-driven decision-making, and performance tracking.
• Fraud Risk Analyst / AML Data Scientist - Experience in risk assessment, anomaly detection, and predictive analytics.
• Retention & Churn Analytics Specialist (Telecom, E-commerce, Subscription Services)
3. Strong experience in data governance, segmentation, and performance tracking
4. SQL, Python
5. Excellent presentation skills with a strong ability to convey complex data insights
6. Fluent in English
7. Skills in customer segmentation, behavioral analysis, and lifecycle management. Strategy Consultant (Financial Services, Credit, Fintech).
8. Strong analytical mindset, data-driven problem-solving, and operational optimization.