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Credit Risk Modeling Jobs in Florida (NOW HIRING)

Ensure model documentation is up to date and in accordance with regulatory requirements. * Maintain ACL procedures manuals up to date in line with current process * Estimate loss provisions forecast ...

Ensure model documentation is up to date and in accordance with regulatory requirements. * Maintain ACL procedures manuals up to date in line with current process * Estimate loss provisions forecast ...

Ensure model documentation is up to date and in accordance with regulatory requirements. * Maintain ACL procedures manuals up to date in line with current process * Estimate loss provisions forecast ...

Credit Risk Analyst

Tampa, FL · On-site

$55 - $75/hr

Leverage credit bureau data, models, and new data sources to enhance targeting and credit risk strategies. * Support test-and-learn initiatives and deliver actionable insights to optimize campaign ...

The Opportunity As a dedicated Bank Credit Risk Analyst Lead, you will have a strong background in ... May have model ownership responsibilities and drive accountability for quantitative model ...

... models. Contribute to development of risk management systems. Develop or implement risk-assessment ... Perform Credit Analysis & Approval/Portfolio Management by completing complex analyses of industry ...

... models. Contribute to development of risk management systems. Develop or implement risk-assessment ... Perform Credit Analysis & Approval/Portfolio Management by completing complex analyses of industry ...

... models. Contribute to development of risk management systems. Develop or implement risk-assessment ... Perform Credit Analysis & Approval/Portfolio Management by completing complex analyses of industry ...

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Showing results 1-20

Credit Risk Modeling information

See Florida salary details

$22.7K

$86.5K

$162.9K

How much do credit risk modeling jobs pay per year?

As of Sep 5, 2026, the average yearly pay for credit risk modeling in Florida is $86,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,151.00 and $103,557.00 per year, depending on experience, location, and employer.

What is credit risk modeling?

A Credit Risk Modeling job involves developing statistical models and analytical techniques to assess the credit risk of individuals or businesses. Professionals in this role analyze financial data, borrower behavior, and economic trends to predict the likelihood of default and assist in making informed lending decisions. They use techniques such as logistic regression, machine learning, and Monte Carlo simulations to quantify risk. Credit risk modelers work closely with risk management teams, regulators, and financial institutions to ensure compliance with industry standards. Their insights help optimize loan approvals, set credit limits, and manage overall portfolio risk.

What are the typical daily responsibilities in credit risk modeling?

Professionals in Credit Risk Modeling spend their days developing and validating statistical models to assess the likelihood of credit defaults, analyzing large data sets to identify risk factors, and compiling detailed reports on their findings. They collaborate closely with data scientists, underwriters, credit analysts, and sometimes regulatory teams to ensure models meet business and compliance standards. Additionally, they often participate in meetings to discuss portfolio performance or proposed policy changes. This role involves a balance of technical analysis, documentation, and cross-functional communication, making it dynamic and integral to financial decision-making.

What are the key skills and qualifications needed to thrive in credit risk modeling?

To thrive in Credit Risk Modeling, you need strong analytical skills, proficiency in statistics and finance, and typically a degree in mathematics, statistics, economics, or a related field. Familiarity with programming languages like Python, R, or SAS, as well as experience using statistical modeling software and risk management platforms, are highly valued. Excellent communication, critical thinking, and collaborative abilities help translate complex data insights for stakeholders and work effectively within cross-functional teams. These skills are crucial for designing accurate risk models that inform sound lending decisions and maintain financial stability for organizations.

What are the most commonly searched types of Credit Risk Modeling jobs in Florida?

The most popular types of Credit Risk Modeling jobs in Florida are:

What cities in Florida are hiring for Credit Risk Modeling jobs?

Cities in Florida with the most Credit Risk Modeling job openings:

Infographic showing various Credit Risk Modeling job openings in Florida as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $86,459 per year, or $41.6 per hour.

Credit Risk Analytics Analyst

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted 14 days ago


Key responsibilities

  • Own and review third-party vendor credit loss models for CRE and C&I, including performance analysis and documentation updates.

  • Advance and refine the use of Moody's models and leverage data to improve credit risk accuracy, stress testing, and risk analysis.

  • Contribute to the development of risk reports, automate modeling routines, and support the integration of risk results into capital planning and risk frameworks.


BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks


Job description

Hybrid opportunity in Miami Lakes, FL.
SUMMARY: Reporting to the Manager, Enterprise Risk Analytics, the Credit Risk Analytics Analyst is part of the Enterprise Risk Analytics team, a dynamic team of talented professionals whose task is to produce valuable recurring risk reporting and analytics as well as advance the modeling framework to identify and manage financial risk. The Credit Risk Analytics Analyst uses a combination of quantitative, modeling, communication, and technical reporting skills to further advance the various risk analytics initiatives and add value to the organization by enhancing our credit risk modeling, monitoring, and reporting capabilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • Ownership of third-party vendor credit loss models for CRE and C&I. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations.
  • Become a leading expert in the Moody's CMM, RiskCalc, MPA, and ZMDesk, and models. This includes periodic review of model performance and updates, as well as, developing a deep knowledge on how the models work.
  • Advance and refine our use of Moody's CMM, RiskCalc, MPA, and ZMDesk models. This includes using Moody's models and leveraging external and internal data to drive improvements in credit risk accuracy and utilizing the outputs to further stress testing, credit risk attribution, credit VaR, sensitivity analysis, and risk decomposition initiatives.
  • Be a leading contributor to the quarterly and annual end-to-end stress testing exercises. Conduct ad-hoc analysis as required. Develop potential stress scenarios that are meaningful to management.
  • Contribute to the integration of risk results into capital planning, budgeting, and risk appetite frameworks.
  • Periodic reporting on financial risks. This includes report generation in a wide variety of formats including but not limited to Tableau dashboards, Microsoft Excel report, PowerPoint presentations and Microsoft Word reports, on a periodic as well as ad-hoc basis.
  • Drive the automation of modeling routines as well as report and dashboard generation in a manner that drives consistency, accuracy and repeatability in credit risk reporting.
  • Contribute to the design and implementation of risk reporting across a variety of media.
  • Work closely with the data and technology teams to improve the data infrastructure needed to support the above initiatives.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

EDUCATION
Degree in a quantitative discipline (eg Statistics, Finance, Mathematics, Engineering, Economics) required Advanced degree in a quantitative discipline (PhD or MSc in a STEM discipline or Economics/Finance) preferred.
EXPERIENCE
  • 2+ years' experience in financial services (banking, asset management, insurance, etc) with significant direct exposure to analytics and modeling applied to credit risk and/or market risk.
  • Experience with programming languages, particularly Python.
  • Experience utilizing and merging data from a variety of databases.
  • Experience with a wide assortment of financial modeling techniques, including but not limited to: credit losses, loss migration, interest rates, volatility, derivatives, VaR, prepayments, capital, forecast techniques, stress testing, scenario analysis, sensitivity analysis, RAROC, liquidity, FTP.
  • Prior experience in credit risk reporting.
  • Prior experience working with databases.
  • Prior experience automating tasks.

CERTIFICATES, LICENSES, REGISTRATIONS
  • CFA, PRM, FRM a plus.

KNOWLEDGE, SKILLS AND ABILITIES
  • Deep understanding of credit risk models (PD, LGD, Credit VaR, etc). This Manager should be able to use this understanding to provide expert insight into the credit risk results they report and enhance the modeling capabilities of the team.
  • Excellent communication skills (visual, verbal, and written) with the ability to articulate complex concepts into a format digestible by a diverse audience.
  • Proficiency in generating reports using Tableau.
  • Proficiency with general quantitative modeling techniques (regression, simulation, optimization).
  • Strong interpersonal skills to aid in working with different divisions within the company.
  • Ability to work under pressure, meet deadlines, manage competing initiatives and adapt to an ever changing work pace with a focus on accuracy and attention to detail.
  • Knowledge of latest modeling developments / trends.

ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.

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