Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Quantitative Analyst
San Juan, PR
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Applicants must be authorized to work for any employer in the United States
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Statistics, Mathematics, Mathematics, or Economics with a strong quantitative concentration, Data Science, or another closely related quantitative discipline.
- Bachelor's degree in a quantitative discipline with at least three years of relevant experience; or Master's degree in a quantitative discipline with at least two years of relevant experience.
- Solid understanding of statistical concepts and methods, including regression, classification, time-series analysis, hypothesis testing, sampling, model performance evaluation, and data visualization.
- Master's degree in Statistics, Mathematics, Economics, or Data Science
- Relevant experience should include a combination of the following:
- Knowledge of accounting and financial concepts relevant to credit loss estimation, including the current expected credit losses methodology, portfolio performance, financial reporting, and internal controls.
Preferred experience
- Familiarity with version control, structured code documentation, testing, or peer-review practices is desirable.
- Knowledge of generative AI and agent-based technologies, including potential applications, limitations, responsible-use considerations, privacy, security, and human oversight, is a plus.
Qualification wording
Bachelor's degree in Statistics, Mathematics, Mathematics, or Economics with a strong quantitative concentration, Data Science, or another closely related quantitative discipline.
Bachelor's degree in a quantitative discipline with at least three years of relevant experience; or Master's degree in a quantitative discipline with at least two years of relevant experience.
Solid understanding of statistical concepts and methods, including regression, classification, time-series analysis, hypothesis testing, sampling, model performance evaluation, and data visualization.
Master's degree in Statistics, Mathematics, Economics, or Data Science
Relevant experience should include a combination of the following:
Knowledge of accounting and financial concepts relevant to credit loss estimation, including the current expected credit losses methodology, portfolio performance, financial reporting, and internal controls.
Familiarity with version control, structured code documentation, testing, or peer-review practices is desirable.
Knowledge of generative AI and agent-based technologies, including potential applications, limitations, responsible-use considerations, privacy, security, and human oversight, is a plus.
Education & alternatives
Education 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
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 Experience
Experience Bachelor's degree in a quantitative discipline with at least three years of relevant experience; or Master's degree in a quantitative discipline with at least two years of relevant experience. Relevant experience should include a combination of the following:
About Banco Popular
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,815 similar postings that came down. Coming down is not always a hire.
Banco Popular is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SAS
- Excel
Where the posting names them
- 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.
- Experience analyzing large or complex datasets and translating quantitative findings into conclusions and recommendations for management. - Practical experience using Python, R, SAS, or comparable analytical tools to perform data preparation, statistical analysis, modeling, validation, or process automation. - Exposure to generative AI, large language models, AI agents, prompt design, retrieval-augmented generation, or AI-enabled workflow automation is preferred but not required.
- Knowledge of accounting and financial concepts relevant to credit loss estimation, including the current expected credit losses methodology, portfolio performance, financial reporting, and internal controls. - Proficiency in at least one statistical programming language, preferably Python, R, or SAS. Programming capability is expected to support quantitative analysis, reproducibility, and automation. - Familiarity with version control, structured code documentation, testing, or peer-review practices is desirable.
- Ability to communicate complex quantitative and accounting concepts clearly to technical and nontechnical audiences. - Advanced PC skills, including Microsoft Excel, PowerPoint, Word, SharePoint, and related Microsoft 365 applications. - Fully bilingual in English and Spanish.
Your next step
Complete your application on jobs.popular.com. The employer’s form will show what is required.
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Already applied? Track this application
About Banco Popular
- People
- About 8,812 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as BPOP.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Type
General Description
Develops, interprets, and implements statistical, financial, and accounting concepts and quantitative techniques to support credit risk modeling, financial forecasting, model monitoring, and reporting. Performs complex data analysis and develops reproducible analytical processes using statistical programming tools. Identifies opportunities to responsibly apply automation, generative artificial intelligence, and AI-enabled workflows to improve efficiency, consistency, and documentation of quantitative related processes.
Essential Duties and 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.
- Perform independent review, reproduction, and validation of analytical results, including reconciliation of data, identification of discrepancies, and documentation of findings and resolutions.
- Gather, evaluate and relay both internal and economic data to predict different types of risks by making use of econometric and statistical methods.
- Prepare clear technical documentation, analytical reports, presentations, and supporting materials that support the explanation of methodologies, assumptions, results, limitations, and key business implications.
- Identify and evaluate appropriate opportunities to use generative AI, AI agents, or related technologies to support research, documentation, data analysis, workflow automation, and process efficiency, subject to applicable governance, data privacy, information security, validation, and human-review requirements.
Education
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
Experience
Bachelor's degree in a quantitative discipline with at least three years of relevant experience; or Master's degree in a quantitative discipline with at least two years of relevant experience.
Relevant experience should include a combination of the following:
- Statistical analysis, econometric modeling, predictive modeling, financial modeling, credit risk analysis, or model monitoring.
- Experience analyzing large or complex datasets and translating quantitative findings into conclusions and recommendations for management.
- Practical experience using Python, R, SAS, or comparable analytical tools to perform data preparation, statistical analysis, modeling, validation, or process automation.
- Exposure to generative AI, large language models, AI agents, prompt design, retrieval-augmented generation, or AI-enabled workflow automation is preferred but not required.
Other Qualifications
- Strong analytical and critical-thinking capabilities, with the ability to assess assumptions, evaluate data quality, interpret model results, and identify limitations or emerging risks.
- Solid understanding of statistical concepts and methods, including regression, classification, time-series analysis, hypothesis testing, sampling, model performance evaluation, and data visualization.
- Knowledge of accounting and financial concepts relevant to credit loss estimation, including the current expected credit losses methodology, portfolio performance, financial reporting, and internal controls.
- Proficiency in at least one statistical programming language, preferably Python, R, or SAS. Programming capability is expected to support quantitative analysis, reproducibility, and automation.
- Familiarity with version control, structured code documentation, testing, or peer-review practices is desirable.
- Knowledge of generative AI and agent-based technologies, including potential applications, limitations, responsible-use considerations, privacy, security, and human oversight, is a plus.
- Ability to communicate complex quantitative and accounting concepts clearly to technical and nontechnical audiences.
- Advanced PC skills, including Microsoft Excel, PowerPoint, Word, SharePoint, and related Microsoft 365 applications.
- Fully bilingual in English and Spanish.
Region Locations
Popular Center 011
San Juan, Puerto Rico
Values
1. Passion for People
3. Succeed Together
2. Own Every Moment
4. Build the Future
Additional Requirements
Important: The candidate must provide evidence of academic preparation or courses related to the job posting, if necessary.
Our hybrid work model benefit applies to certain positions and is subject to changes based on the organizational needs.
Applicants must be authorized to work for any employer in the United States. This position is not open to applicants who need visa sponsorship or transfer of visa sponsorship at this time.
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 situations and/or natural disasters. Popular’s employees are considered essential workers, whose role is critical in the continuity of these important services even under such circumstances. By applying to this position, you acknowledge that Popular may require your services during and immediately after any such events.
If you have a disability or need more information about requesting an accommodation, please contact us at asesorialaboral@popular.com. This email inbox is monitored for such types of requests only. All information you provide will be kept confidential and will be used only to the extent required to provide needed exemptions or reasonable accommodations. Any other correspondence will not receive a response.
Are you ready for a rewarding career?
Popular is an Equal Opportunity Employer, including Disability/Vets
Learn more about us at www.popular.com and keep updated with our latest job postings at www.jobs.popular.com.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Juan, PR
Important: The candidate must provide evidence of academic preparation or courses related to the job posting, if necessary. Our hybrid work model benefit applies to certain positions and is subject to changes based on the organizational needs. Applicants must be authorized to work for any employer in the United States. This position is not open to applicants who need visa sponsorship or transfer of visa sponsorship at this time.
- Work authorization
Our hybrid work model benefit applies to certain positions and is subject to changes based on the organizational needs. Applicants must be authorized to work for any employer in the United States. This position is not open to applicants who need visa sponsorship or transfer of visa sponsorship at this time. ABOUT US