QUANTITATIVE ANALYST
RISK ASSESSMENT DEPARTMENT
FIRSTBANK PR
Our Company
At FirstBank PR, we strive to be trusted advisors to our clients and our employees are the ones that ensure we deliver on our promise of excellence in personalized customer service. Our more than 3,100 employees in Puerto Rico, the Virgin Islands and Florida share a passion for excellent customer service. We are proud of our team because they are continuously surpassing our client’s expectations.
Do you have a passion for helping customers, building relationships, and delivering extraordinary, personalized customer service? If your answer is yes, FirstBank is the number one place for you.
A Brief Overview
The Quantitative Analyst is responsible for understanding and validating modeling methodologies and supporting risk management activities in alignment with the Model Risk Management (MRM) framework and regulatory expectations. This role involves applying statistical and analytical techniques to assess model design, assumptions, data quality, performance, and controls.
This position is ideal for someone with early-career experience in analytics, finance, modeling, or risk who wants to deepen their expertise in data-driven decision making and analytical problem solving. You will gain exposure to model governance practices, regulatory expectations, and advanced analytical techniques while working with cross-functional teams.
The Quantitative Analyst reports to the Quantitative Supervisor within the Enterprise Risk Management and Operational Risk Department. Experience with model validation, risk management, or regulatory frameworks is a plus, but not required.
What You'll Do
- Manage multiple tasks while meeting deadlines.
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Identify opportunities to improve processes, workflows, and efficiency.
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Review model documentation to ensure it is clear and complete.
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Analyze datasets and confirm their quality and suitability for model use.
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Help ensure appropriate controls and processes are in place to reduce risk.
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Understand how models work, including data inputs, assumptions, and outputs.
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Review and assess models to ensure results are reasonable and reliable.
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Evaluate model performance (accuracy, consistency, and sensitivity).
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Prepare concise reports and communicate key findings to stakeholders.
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Collaborate with model developers, business teams, and other partners.
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Monitor models over time and identify potential performance issues.
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Support audits and regulatory-related requests when needed.
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Perform reperformance analysis, including the use of challenger models, to test and compare existing approaches.
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Proficient in Microsoft Office knowledge in Word, Excel (Advanced) and Power Point.
What You’ll Need To Succeed:
Bachelor’s degree in Math, Economics, Demography, Finance, Statistics, Engineering or other quantitative disciplines is required. 2+ years working experience in risk management, statistical analysis, modeling, or other quantitative discipline. Or an equivalent combination of education and experience. Proficient in at least one programming language such as R, Python, SQL, or equivalent, with the ability to work with large datasets. Exposure to model validation, risk management, or governance frameworks, familiarity with financial models (credit risk, forecasting, pricing, etc.), experience working in regulated environments is preferred.
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, skills required of personnel so classified. The reporting relationship may not reflect the most recent changes to the corporate reporting structure.
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