- San Juan, San Juan, Puerto Rico
- Hybrid
- 3+ years
Develops, interprets, and implements statistical, financial, and accounting concepts and quantitative techniques to support credit risk modeling, financial forecasting, model monitoring, and reporting.
Responsibilities
- Apply statistical theory, econometric methods, and quantitative techniques to collect, organize, validate, interpret, and summarize numerical and text data to provide usable information.
- Interpret quantitative data and design statistical models for researching problems or questions.
- Perform data analysis using statistical programming software such as Python, R, or SAS, with emphasis on accuracy, reproducibility, data quality, and effective analytical controls.
- Analyze and interpret data to identify trends, patterns, anomalies, and emerging risks that may affect performance, model results, or estimates.
- Develop and maintain analytical programs, reusable scripts, data validation routines, and automated workflows that improve the efficiency and consistency of quantitative processes.
Requirements
- Bachelor's degree in Statistics, Mathematics, Mathematics, or Economics with a strong quantitative concentration, Data Science, or another closely related quantitative discipline.
- Master's degree in Statistics, Mathematics, Economics, or Data Science
- Nice to have: generative AI
- Nice to have: large language models
- Nice to have: AI agents