Key Responsibilities: 

• Conduct thorough research on alternative data sources relevant to credit scoring, including rental history, banking analytics, utilities payments, insurance records, and educational metrics. 
• Analyze existing credit scoring methodologies, identifying opportunities to enhance accuracy and inclusivity through alternative data. 
• Collaborate closely with the technology team to translate research findings into actionable strategies and technical specifications. 
• Provide strategic guidance on the ethical and regulatory implications of integrating alternative data sources into our credit scoring framework. 
• Present research findings and recommendations to IT Team and stakeholders, effectively communicating technical concepts and implications.

Requirements: 

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master’s degree or PhD is preferred.
• Proven experience in conducting research related to modeling , financial data analysis, or related fields. Familiarity with alternative data sources is highly advantageous. 
• Experience or exposures with AI predictive modeling, LLM, and NPL. 
• Strong proficiency in statistical analysis, machine learning techniques, and data modeling. 
• Able to quickly learn and have solid understanding of regulatory frameworks governing credit scoring and data privacy (e.g., GDPR, CCPA) based in USA system. 
• Exceptional analytical skills with the ability to distill complex information into clear, actionable insights. 
• Excellent communication and presentation skills, capable of conveying technical concepts to diverse audiences in simple terms.

Source: Merojob

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