Quantitative Risk Analyst
hace 2 semanas
Job Summary
We are seeking a highly skilled Quantitative Risk Analyst to join our team at Popular Bank. As a Quantitative Risk Analyst, you will be responsible for developing and implementing complex statistical and financial models to measure and monitor credit risk.
Key Responsibilities
- Apply statistical theory and methods to collect, organize, and interpret numerical and text data to provide usable information.
- Analyze data using statistical analysis software programs such as Python, R, SAS, Stata, or SPSS.
- Develop and implement predictive models to identify trends and patterns in financial data.
- Conduct special studies to analyze complex financial actions and prepare recommendations for policy, procedure, control, or action.
- Evaluate complex profit plans, operating records, and financial statements.
Requirements
- Bachelor's degree in economics, statistics, mathematics, or a related field.
- Master's degree in statistics or a related field.
- At least three years of related experience.
- Knowledge of one or more of the following software programs: R programming language, Python, or SAS.
- Knowledge of accounting principles, applicable laws, regulations, and practices, financial markets, financial analysis, and/or reporting of financial data.
About Us
Popular Bank is Puerto Rico's leading financial institution, offering a wide variety of services and financial solutions to our customers. We are committed to making our customers' dreams come true by offering financial solutions in each stage of their life.
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