ZipRecruiter

Log In

1

Internship Credit Risk Modeling Jobs (NOW HIRING)

Inizio Partners

Credit Risk Modeler

San Jose, CA · Hybrid

... modeling using Machine Learning modeling techniques * Technical Skills Required: Hive, PySpark, SQL, Python * Must have experience in development of Credit Risk models (probability of default ...

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

next page

Showing results 1-20

People also search for

All JobsInternship Credit Risk Modeling Jobs

Internship Credit Risk Modeling information

See salary details

$124.5K

$145.1K

$187.5K

How much do internship credit risk modeling jobs pay per year?

As of Jun 1, 2026, the average yearly pay for internship credit risk modeling in the United States is $145,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $148,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Credit Risk Modeling, and why are they important?

To thrive as an Internship Credit Risk Modeling, you generally need strong quantitative and analytical skills, a background in finance, statistics, or a related field, and familiarity with risk concepts. Experience with statistical programming languages such as Python, R, or SAS, and proficiency in Excel or SQL, are commonly required, and relevant coursework or certifications in risk management or data analysis are advantageous. Attention to detail, critical thinking, and effective communication help interns stand out when interpreting data and presenting risk findings. These skills are important to ensure accurate risk assessments, support data-driven decision-making, and facilitate collaboration within financial institutions.

What types of projects or tasks can I expect to work on during an Internship in Credit Risk Modeling?

As an intern in Credit Risk Modeling, you'll typically assist with statistical analysis, data preparation, and validation of risk models used by the organization to evaluate creditworthiness. You may support senior analysts in building or refining predictive models using programming languages like Python or R, and work with large datasets to uncover trends in borrower behavior. Interns often collaborate with risk analysts, data scientists, and IT teams, gaining exposure to both technical and business perspectives. This hands-on experience helps build a solid foundation for a future career in quantitative finance or risk management.

What is an Internship in Credit Risk Modeling?

An Internship in Credit Risk Modeling is a temporary position, usually for students or recent graduates, where you work with financial institutions to understand and help develop models that predict the likelihood of borrowers defaulting on loans. Interns typically assist in analyzing data, building statistical models, and supporting risk assessment processes. This role provides hands-on experience with financial data, programming, and model validation, making it valuable for those interested in finance, statistics, or data science. It also offers exposure to regulatory requirements and real-world risk management practices.

What is the difference between Internship Credit Risk Modeling vs Credit Risk Analyst?

AspectInternship Credit Risk ModelingCredit Risk Analyst
CredentialsTypically pursuing or recent graduate, some familiarity with finance or statisticsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship setting, supervised, project-basedFull-time, professional environment, more independent responsibilities
Industry UsageEntry-level, educational focus, training periodCore role in financial institutions, ongoing risk assessment

Internship Credit Risk Modeling positions are designed for students or recent graduates gaining initial experience, often with supervised tasks. Credit Risk Analysts are experienced professionals responsible for ongoing risk evaluation, requiring more advanced skills and independence. The internship serves as a training ground, while the analyst role involves continuous risk management in financial institutions.

More about Internship Credit Risk Modeling jobs
What cities are hiring for Internship Credit Risk Modeling jobs? Cities with the most Internship Credit Risk Modeling job openings:
What are the most commonly searched types of Credit Risk Modeling jobs? The most popular types of Credit Risk Modeling jobs are:
What states have the most Internship Credit Risk Modeling jobs? States with the most job openings for Internship Credit Risk Modeling jobs include:
What job categories do people searching Internship Credit Risk Modeling jobs look for? The top searched job categories for Internship Credit Risk Modeling jobs are:
Internship Credit Risk Modeling jobs near you
Infographic showing various Internship Credit Risk Modeling job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 86% Full Time, 12% Part Time, and 1% Temporary. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $145,100 per year, or $69.8 per hour.

Senior Credit Risk Modeling Analyst

TriQuest Business Services

San Antonio, TX • Hybrid

$115K/yr

Other

Posted 28 days ago

Job description

Job Title: Senior Credit Risk Modeling Analyst

Location: San Antonio, TX (Hybrid)
Salary: $115,000
Industry: Financial Services / Credit Risk

About the Role

We are seeking a highly analytical Senior Credit Risk Modeling Analyst to help build and lead the next generation of credit underwriting models within a growing financial institution. This is a ground-floor opportunity to bring credit risk modeling in-house, moving the organization from reporting-focused analytics to advanced, data-driven decisioning.

You will serve as the subject matter expert on a small team, owning the full model lifecycle-from development and validation to monitoring and optimization-while helping elevate the team's overall modeling capabilities.

Key Responsibilities

Model Development & Strategy

  • Design and develop credit risk models for loan underwriting using internal and external data
  • Lead major model refresh initiatives using historical application and performance data
  • Build decision-tree and predictive models to improve approval strategies and risk outcomes

Model Lifecycle Ownership

  • Own end-to-end model lifecycle: development, documentation, validation, and deployment
  • Monitor model performance and identify trends or deviations from expectations
  • Recommend and implement enhancements based on performance insights

Data & Tools

  • Work within Databricks using SQL and Python for data extraction, transformation, and modeling
  • Integrate internal datasets with third-party data sources (e.g., Experian)
  • Support model deployment within external platforms (e.g., PCOE / Strategy Design Studio)

Collaboration & Stakeholder Engagement

  • Partner with analysts to support reporting, testing, and monitoring efforts
  • Work with audit, risk, and leadership teams to defend model assumptions and decisions
  • Collaborate with external vendors on model implementation and optimization
  • Communicate complex modeling concepts to both technical and non-technical stakeholders
Qualifications
  • Bachelor's degree in Finance, Statistics, or a quantitative field (Master's preferred)
  • 5+ years of experience in credit risk modeling or similar quantitative role
  • Hands-on experience building and validating credit risk or underwriting models
  • Strong experience with SQL and Python (R or other tools a plus)
  • Experience working in a regulated financial environment (bank or credit union preferred)
  • Ability to explain and defend models under audit and regulatory review
  • Strong analytical thinking and problem-solving skills
Preferred Experience
  • Experience with Experian PCOE / Strategy Design Studio
  • Exposure to CECL or credit loss modeling frameworks
  • Experience integrating third-party credit bureau data into models
  • Background working with Databricks or similar data platforms
Work Environment & Culture
  • Hybrid schedule (~30% onsite; team works in-office on designated weeks)
  • Collaborative, high-growth environment with a small, developing team
  • Leadership style is hands-off, with strong support for removing roadblocks
  • Opportunity to shape and expand the organization's credit risk modeling function

Apply