Quantitative Research Program
•Developed sophisticated data analysis algorithms capable of processing input dates and generating accurate price estimates for both historical and predictive analyses, enhancing decision-making precision.•Engineered an innovative prototype pricing model, designed for extensive validation and testing, laying the groundwork for seamless integration into production environments.•Constructed a robust Python-based model dedicated to estimating borrower default probabilities, integrating comprehensive risk assessment tools into financial decision-making processes.•Implemented intricate Python code to categorize customers based on FICO scores systematically, enabling precise targeting and assessment of default probabilities, thereby optimizing risk management strategies.