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Internship Credit Risk Modeling Jobs in Boston, MA

Support the communication with the credit approval division to ensure alignment of risk strategy ... Strong financial modeling skills required * Skilled in Microsoft Word, Power Point, and Excel The ...

... risk ratings for a portfolio of commercial credits. Spread financial statements and prepare financial models designed to sensitize various conditions impacting the proposed transaction. * Prepare ...

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Internship Credit Risk Modeling information

See Boston, MA salary details

$132.3K

$154.1K

$199.2K

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

As of Jun 8, 2026, the average yearly pay for internship credit risk modeling in Boston, MA is $154,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,800.00 and $157,800.00 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 Boston, MA? The most popular types of Credit Risk Modeling jobs in Boston, MA are:
Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Karen Clark & Company

Boston, MA

$25/hr

Other

Posted 11 days ago


Job description

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Karen Clark & Company (KCC) is seeking a qualified candidate for a 2026 internship with a term of at least 8 weeks. The selected candidate will work with the Model Development Team in-person in KCC's Boston office to support the development of advanced catastrophe reference models. In this position, you will work closely with other scientists and engineers to develop and manage the vulnerability module of KCC's catastrophe models. The internship is supervised by senior staff and provides hands-on experience working on real-world science and engineering problems in the catastrophe modeling industry.

Expected Pay: $25 per hour

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to (re)insurance company executives nationwide. These services enhance business strategies, and the financial results put our clients at a competitive advantage. KCC catastrophe models currently cover tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 50 countries. For more information, please visit www.kcc.us.com.

Qualifications

  • MS or PhD candidate in Structural Engineering, Civil Engineering, or a related field with focus on natural hazards (e.g., wind, flood, wildfire, earthquake)
  • Understanding of structural behavior and damage mechanisms under natural hazards
  • Familiarity with probabilistic methods and basic risk modeling concepts
  • Experience with numerical modeling or simulation (e.g., structural analysis, fragility/vulnerability modeling)
  • Proficiency in Python or similar language for data analysis; ability to work with and process large datasets
  • Strong analytical and problem-solving skills, with attention to detail
  • Clear technical communication skills (written and verbal)
Employment Type: OTHER