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Credit Risk Data Science Jobs in Florida (NOW HIRING)

EverBank

Sr. Credit Risk Associate

Jacksonville, FL · On-site

Assists in the development of departmental credit risk reporting framework to ensure accuracy and integrity of data and findings. * Supports the development and management of internal statistical ...

Monitise

Credit Risk Manager

Coral Springs, FL · On-site

$69K - $110.40K/yr

The Fiserv Credit Risk Organization is responsible for managing the risk throughout the lifecycle ... detailed credit and data analysis in a fast paced environment. * Strong written, oral and ...

Papco

Senior Analyst, Credit & Risk

Miami, FL · Remote

Senior Analyst, Credit & Risk About the Role World Fuel is seeking a Senior Analyst, Credit & Risk ... data analysis across platforms * Contribute to initiatives that improve transparency, reduce ...

Paysafe

Risk Strategy Data Analyst

Jacksonville, FL · On-site

Risk Strategy Data Analyst The Strategic Risk Data Analyst will be responsible for conceptualizing ... Bachelor's degree in Data Science, statistics, mathematics, engineering, computer science or any ...

Socure

$180K - $210K/yr

Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related ... Experience in fraud prevention, risk modeling, or identity verification. * Years of hands-on ...

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Credit Risk Data Science information

What are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.
What are popular job titles related to Credit Risk Data Science jobs in Florida? For Credit Risk Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Florida look for? The top searched job categories for Credit Risk Data Science jobs in Florida are:
What cities in Florida are hiring for Credit Risk Data Science jobs? Cities in Florida with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Florida as of May 2026, with employment types broken down into 2% As Needed, 81% Full Time, and 17% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Sr. Credit Risk Associate

EverBank

Jacksonville, FL • On-site

Full-time

Posted 7 days ago

Job description

Sr. Credit Risk Associate
The Credit Risk Senior Associate job contributes to credit risk management projects and processes to ensure that an appropriate framework exists for the monitoring, reporting and analysis of credit risk. While applying advanced knowledge, strong technical aptitude and understanding of credit underwriting and risk concepts, this job provides detailed loan level risk reviews and contributes to the preparation of relevant credit risk publications for the business units, senior management, regulatory reporting, risk officers, management committees, the Board of Directors and other stakeholders.
Key Responsibilities and Duties
  • Evaluates credit risk of business activities to ensure that the activities are in compliance with related policies, procedures, limits, ratings, and guidelines.
  • Assists in the development of departmental credit risk reporting framework to ensure accuracy and integrity of data and findings.
  • Supports the development and management of internal statistical tools and matrixes to effectively monitor, measure, and manage credit risk.
  • Contributes to ad hoc requests including industry benchmarking, new product research, concentration analysis or development of insights relating to credit risk profiles and trends.
  • Ensures that reporting processes are well controlled and documented and performs variance analysis between risk information and financial data as needed.
  • Collaborates within the department to ensure consistency in processes, assumptions, definitions and methodologies.
  • Surfaces process improvement action opportunities to resolve issues and optimizes processes to better manage, measure, and monitor credit risk.

Minimum Qualifications
  • 3 years of experience in commercial loan review or commercial underwriting
  • Background in commercial real estate

Preferred Qualifications
  • 5+ years of experience supporting commercial real estate loans
  • Prior experience with bridge loans, construction loans, equipment finance, or fund finance

Educational Requirements
  • University (Degree) Preferred

Physical Requirements
  • Physical Requirements: Sedentary Work

Career Level
7IC
Posting end date - 5/29/26

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