AxcessRent is a pioneering AI-enabled all-in-one financial solutions platform. We are developing an new way to modeling alternative credit scores in USA by developing innovative technologies that integrate alternative data sources, such as rental history, banking transactions, utilities payments, insurance records, and educational data, to redefine credit assessment methodologies that has been outdated.

As a Researcher for our Al-Based Alternative Data Credit Scoring Model, you will lead comprehensive research efforts critical to our technology team’s development of advanced credit scoring algorithms. Your insights will bridge business requirements with technical implementation, ensuring our solutions are both innovative and compliant with regulatory standards. 

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.