Full Time Position
Hybrid from San Juan, PR
General Description
Develops, interprets, and implements complex statistical, financial and accounting concepts, or techniques, for predictive modeling and reporting related to credit risk measurement and monitoring.
Essential Duties and Responsibilities
- Apply statistical theory and methods to collect, organize, interpret, and summarize numerical and text data to provide usable information. Interpret quantitative data and design statistical or machine learning models for researching problems or questions.
- Analyze data using statistical analysis software programs such as Python, R, SAS, Stata or SPSS.
- Analyze and interpret data to identify trends or patterns that may indicate financial distress and emerging credit risk in clients using quantitative techniques such as detection models, prediction models, text matching, clustering, among others.
- Conducts special studies to analyze complex financial actions and prepares recommendations for policy, procedure, control, or action. Analyzes financial information to determine present and future financial performance. Identifies trends and recommends improvements accordingly.
- Evaluates complex profit plans, operating records, and financial statements. Directs preparation of studies, reports, and analyses in areas such asforecasts, financial plans, regulatory requirements, statistical reports,
- Makes recommendations to management regarding cost saving or profit generating opportunities and profitability improvement strategies. Coordinates with all levels of management to gather, analyze, summarize, and prepare recommendations regarding financial plans, acquisition activity, new business planning, trended future requirements, government requirements, and/or operating forecasts.
- Gather, evaluate, and relay both internal and economic data to predict different types of risks by making use of econometric, statistical, and machine learning methods.
Education
Bachelor's degree in economics or Statistics or Mathematics, or related fields
Masters Degree in Statistics or related fields
Experience
Bachelor's degree (B. A.) in a quantitative discipline with at least three years related experience; or master's degree (M.A.) in a quantitative discipline or a master's in business administration (MBA) with at least two years of related experience.
Other Qualifications
- Knowledge of one or more of the following software programs: R programming language, Python or SAS.
- Knowledge of Word Processing, Presentations, Spreadsheets, and other related software.
- Knowledge of accounting principles, applicable laws, regulations and practices, financial markets, financial analysis, and/or reporting of financial data.
- Process large amounts of data for statistical modeling and graphic analysis, using computers.
- Fully bilingual, English and Spanish.
Important: The candidate must provide evidence of academic preparationor courses related to the job posting, if necessary.
ABOUT US
Popular is Puerto Rico's leading financial institution and have been evolving since it was founded over a century ago. From a small bank it has developed into a large corporation that offer a wide variety of services and financial solutions to our customers, with presence in the United States, the Caribbean and Latin America.
As employees, we are dedicated to making our customers dreams come true by offering financial solutions in each stage of their life. Our extensive trajectory demonstrates the resiliency and determination of our employees to innovate, reach for the right solutions and strongly support the communities we serve; therefore, we value their diverse skills, experiences and backgrounds.
We reaffirm our commitment to always offer essential financial services and solutions for our customers and communities, including during emergency