ZipRecruiter

Log In

1

Credit Risk Modeler Jobs in Miami, FL (NOW HIRING)

Worth AI

Strategic Accounts Manager

Miami, FL · Remote

Working understanding of underwriting principles, credit risk, lending workflows, and financial data models * Strong knowledge of AI technologies and their applications in financial technology ...

Worth AI

Strategic Accounts Manager

Miami, FL · On-site

Working understanding of underwriting principles, credit risk, lending workflows, and financial data models * Strong knowledge of AI technologies and their applications in financial technology ...

Accenture

Commercial Credit/ nCino Manager

Miami, FL · On-site

... risk, and grow with sustainable value. That's where Accenture Strategy & Consulting comes in. We ... Support Commercial Credit Transformation programs - including operating model and technology ...

previous page

Showing results 41-60

All JobsCredit Risk Modeler JobsCredit Risk Modeler Jobs in Miami, FL

Credit Risk Modeler information

See Miami, FL salary details

$122.2K

$142.4K

$184K

How much do credit risk modeler jobs pay per year?

As of Aug 15, 2026, the average yearly pay for credit risk modeler in Miami, FL is $142,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $145,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a credit risk modeler?

To thrive as a Credit Risk Modeler, you need a solid background in quantitative finance, statistics, and data analysis, often supported by a degree in mathematics, finance, or a related field. Familiarity with programming languages such as Python, R, or SAS, as well as experience with risk modeling frameworks and regulatory requirements like Basel III, is typically required. Strong analytical thinking, attention to detail, and effective communication make a candidate stand out in this role. These skills are crucial for accurately predicting credit risk, ensuring regulatory compliance, and supporting informed decision-making in financial institutions.

How does a credit risk modeler typically collaborate with other departments within a financial institution?

Credit Risk Modelers frequently work alongside data scientists, underwriters, compliance teams, and business analysts to develop and refine risk assessment models. Collaboration with IT teams is common for implementing models into production systems, while regular interaction with regulatory and compliance groups ensures models meet legal standards. Effective communication with stakeholders is essential to translate technical findings into actionable business strategies, making cross-functional teamwork a key part of the role.

What does a credit risk modeler do?

A Credit Risk Modeler is responsible for developing statistical models and analytical tools to assess the likelihood that borrowers will default on their loans or credit obligations. They use data analysis, statistical techniques, and machine learning algorithms to predict credit risk and help financial institutions make informed lending decisions. Their work involves gathering and cleaning data, building predictive models, validating model performance, and ensuring compliance with regulatory standards. Credit Risk Modelers play a crucial role in managing a bank's or lender's exposure to financial risk and maintaining a healthy loan portfolio.

What is the difference between Credit Risk Modeler vs Credit Analyst?

AspectCredit Risk ModelerCredit Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often certifications like FRM or CFABachelor's degree in finance, accounting, or related field; certifications like CFA are common
Work EnvironmentQuantitative teams, risk management departments, financial institutionsBank branches, lending departments, credit departments
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending companies, credit bureaus

The main difference is that Credit Risk Modelers develop statistical models to assess and predict credit risk, focusing on quantitative analysis. Credit Analysts evaluate individual creditworthiness of borrowers, primarily through financial statement analysis and credit reports. Both roles require financial knowledge, but Modelers are more data and model-focused, while Analysts are more client and credit evaluation-focused.

What are popular job titles related to Credit Risk Modeler jobs in Miami, FL?

For Credit Risk Modeler jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Credit Risk Modeler jobs in Miami, FL look for?

The top searched job categories for Credit Risk Modeler jobs in Miami, FL are:

Credit Risk Modeler jobs near you
Infographic showing various Credit Risk Modeler job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $142,386 per year, or $68.5 per hour.

Data Analytics Developer, AVP - Credit and Insurance

Blackstone

Miami, FL • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Blackstone is the world’s largest alternative asset manager, seeking to create positive economic impact and long-term value. The role involves the analysis, design, implementation, testing, debugging, and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform.
Responsibilities:
• Responsible for the analysis, design, implementation, testing, debugging and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform.
• Help build the platform through use data science, statistics, and computer programming.
• Work hand-in-hand with portfolio managers, asset allocators, middle-office operations, data governance, risk, and fund finance teams focusing on creating scalable analytics tooling.
• Build interactive dashboards & apps focused on portfolio risk characteristics with insights for internal managers and external clients.
• Use engineering and/or data science background to help find alpha in complex credit and structured security markets.
• Comfortable working with diverse datasets and transforming unstructured & unclean data into an organized format suitable for data science.
• Proficient with Python and SQL to build a clean and scalable code base that powers the analytical models and generates novel insight from the data.
• Responsible for building interactive data visualization tools using Business Intelligence software like Sigma & Tableau.
• Play an important role in implementing and extending core system architecture and data warehouses using Snowflake & AWS to build a solid foundation for analytics.
Qualifications:
Required:
• Bachelors or Masters degree in a STEM domain (e.g., Engineering, Computer/Data Science or similar).
• 3+ years of experience in data analytics/data science role.
• Proficiency in database design as well as SQL and Python programming languages.
• Work experience with business intelligence applications (e.g., Sigma, Tableau). Work experience with designing and implementing scalable portfolio analytics platforms.
• Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.
• Proficient in programming in Python and SQL to build scalable and clean code base for analytics platforms.
• Expert in database architecture design and performance optimization. Strong skills designing optimal data structures to host diverse financial data sets. Expert in data visualization tools like Sigma & Tableau. Can quickly build large scale complicated visualization platforms.
• Expert in designing core data analytics model with a focus on reusability, data processing performance and data accuracy.
• Knowledge in math and statistics to implement financial simulation models and understanding security/fund risk methodologies.
Preferred:
• Work experience with fixed income investment strategies.
• Experience with web-based application development in React & Typescript with AWS infrastructure (Terraform).
Company:
Blackstone invests in private equity, real estate, credit, infrastructure, insurance, and other alternative assets. Founded in 1985, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply