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Internship Credit Risk Modeling Jobs in Chicago, IL

Adyen

Credit Risk Officer

Chicago, IL · On-site

Analyze the impact of business model, industry and macro-economic developments on the credit portfolios and the credit risk offering of Adyen; * Develop and implement credit risk strategies to ...

Adyen

Credit Risk Officer

Chicago, IL

Analyze the impact of business model, industry and macro-economic developments on the credit portfolios and the credit risk offering of Adyen; * Develop and implement credit risk strategies to ...

Alliant

Senior Credit Risk Analyst

Chicago, IL · On-site

$84K - $131K/yr

Perform model and strategy testing and assist with audit/regulatory requests. Work cross ... Review and monitor credit risk for credit cards, and recommend/implement line management, pricing ...

Alliant

Principal Credit Risk Analyst

Chicago, IL · On-site

$119K - $204K/yr

Complete credit risk analytics, which includes but is not limited to loan origination strategy, economic capital setting, credit loss modeling and mitigation, CECL implementation * Partner with other ...

Avant

Associate, Data Science, Credit Risk

Chicago, IL · On-site

$95K - $130K/yr

Design and build robust credit risk models, including application scorecards, behavioral models, loss forecasting, and risk-based pricing, to optimize underwriting decisions and drive overall ...

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All JobsCredit Risk Modeling JobsInternship Credit Risk Modeling JobsInternship Credit Risk Modeling Jobs in Chicago, IL

Internship Credit Risk Modeling information

See Chicago, IL salary details

$126.1K

$146.9K

$189.9K

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

As of Jul 10, 2026, the average yearly pay for internship credit risk modeling in Chicago, IL is $146,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,200.00 and $150,400.00 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 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.

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 are the most commonly searched types of Credit Risk Modeling jobs in Chicago, IL? The most popular types of Credit Risk Modeling jobs in Chicago, IL are:
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Internship Credit Risk Modeling jobs near you
Manager, Credit Risk & Portfolio Analytics

Manager, Credit Risk & Portfolio Analytics

Artius Solutions

Chicago, IL • On-site

Full-time

Re-posted just now

Job description

Manager, Credit Risk & Portfolio Analytics

Location: Chicago, IL (Hybrid)
Employment Type: Full-Time

Overview

Our client, a large and well-established financial services organization based in Chicago, is seeking a Manager, Markets Credit to lead credit risk oversight across mortgage-related assets and fixed income investment portfolios.

This role will manage a team responsible for developing and maintaining credit risk models, performing scenario analysis and stress testing, and monitoring portfolio risk trends. The position will also collaborate closely with cross-functional teams to support investment strategies, product development initiatives, and regulatory compliance efforts.

The ideal candidate is a strong analytical leader with experience in credit risk modeling, mortgage or structured finance exposure, and a track record of leading high-performing analytical teams.

Key ResponsibilitiesCredit Risk Oversight

  • Oversee the monitoring and analysis of credit risk exposures within mortgage-related and investment portfolios.

  • Identify emerging risk trends and provide insights into portfolio performance and risk concentrations.

  • Ensure risk management frameworks support sound portfolio management and investment decision-making.

Credit Modeling & Analytics

  • Lead the development and maintenance of credit risk models including prepayment, default, and loss forecasting models.

  • Manage model assumptions, calibration, validation support, and performance monitoring.

  • Conduct model back-testing and benchmarking to evaluate model effectiveness and recommend improvements.

  • Design analytical tools and risk frameworks to evaluate credit enhancement adequacy and portfolio resilience.

Stress Testing & Scenario Analysis

  • Lead scenario analysis and macroeconomic stress testing across mortgage and investment portfolios.

  • Evaluate portfolio sensitivity to changing market conditions and economic variables.

  • Present findings and recommendations to senior stakeholders.

Regulatory & Governance Collaboration

  • Partner with model validation teams, internal audit, and regulatory stakeholders to ensure models and processes meet governance requirements.

  • Support regulatory reporting and model documentation standards.

Data & Process Innovation

  • Identify opportunities to enhance risk monitoring through advanced analytics, automation, and improved data infrastructure.

  • Lead initiatives that improve analytical efficiency and portfolio risk transparency.

Team Leadership & Stakeholder Collaboration

  • Lead and develop a team of credit risk analysts and quantitative professionals.

  • Provide mentorship, performance management, and guidance on analytical methodologies.

  • Build strong partnerships with internal teams including finance, treasury, operations, legal, and risk management.

QualificationsEducation

  • Bachelor’s degree in Mathematics, Finance, Economics, Statistics, Computer Science, or a related quantitative discipline

  • Master’s degree preferred

Certifications (Preferred)

  • CFA or FRM designation or candidacy

Experience

  • 5+ years of experience in credit risk modeling, quantitative analytics, or financial risk management

  • 2+ years of people management experience

  • Experience working with mortgage assets, fixed income securities, or structured finance portfolios

Technical Skills

  • Strong experience developing predictive statistical models and analytical frameworks

  • Proficiency with SQL, Python, or R

  • Experience with business intelligence and analytics tools such as Tableau or Alteryx

  • Strong data analysis and modeling capabilities

Risk & Regulatory Knowledge

  • Familiarity with credit risk management frameworks and model governance

  • Experience supporting model validation, regulatory reviews, or audit processes

  • Understanding of mortgage lending, underwriting, or servicing processes is a plus

Leadership & Communication

  • Ability to lead and develop analytical teams

  • Strong stakeholder communication and presentation skills

  • Ability to translate complex analytical findings into actionable insights for business leaders

  • Strong problem-solving and critical thinking skills

.