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Internship Credit Risk Modeling Jobs in Massachusetts

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Internship Credit Risk Modeling information

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 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 are the key skills and qualifications needed to thrive as an internship in 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 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 are the most commonly searched types of Credit Risk Modeling jobs in Massachusetts?

The most popular types of Credit Risk Modeling jobs in Massachusetts are:

What are popular job titles related to Internship Credit Risk Modeling jobs in Massachusetts?

For Internship Credit Risk Modeling jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Internship Credit Risk Modeling jobs in Massachusetts look for?

The top searched job categories for Internship Credit Risk Modeling jobs in Massachusetts are:

What cities in Massachusetts are hiring for Internship Credit Risk Modeling jobs?

Cities in Massachusetts with the most Internship Credit Risk Modeling job openings:

Staff Quantitative Risk Management Analyst - Credit Risk

Chelmsford, MA • On-site

First Tech Federal Credit Union
Utilities • 1 - 5K employees

$116K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Description

This role supports the organization's credit risk management framework through advanced quantitative analysis, model development, validation activities, and risk measurement methodologies. The position provides subject matter expertise on complex financial, credit, operational, and enterprise risk analytics, helping ensure effective risk identification, monitoring, and mitigation. This role partners across business units to develop data-driven insights that strengthen decision-making and support regulatory and governance requirements. The position contributes to the organization's strategic objectives by enhancing risk transparency, forecasting capability, and overall risk management effectiveness.

What You'll Do
  • Support the design, development, implementation, and ongoing enhancement of CECL models used to estimate expected credit losses across consumer, commercial, mortgage, and other lending portfolios.
  • Lead the development, enhancement, and maintenance of quantitative credit risk models, methodologies, and analytical tools used to measure and monitor portfolio‑level and enterprise risks.
  • Perform advanced statistical, econometric, and predictive analyses to identify emerging risks, evaluate portfolio performance, and inform strategic decision‑making.
  • Design and execute stress testing, scenario analysis, sensitivity analysis, and forecasting exercises to assess risk exposure under varying economic and business conditions.
  • Analyze large and complex datasets to identify trends, anomalies, and key risk drivers, delivering actionable insights to business leaders and risk committees.
  • Evaluate model performance, conduct outcome monitoring and back testing, and recommend enhancements to ensure analytical methodologies remain effective, accurate, and compliant with governance standards.
  • Collaborate with business stakeholders, finance, compliance, audit, and risk management teams to support enterprise risk assessments and strategic initiatives.
  • Prepare and present quantitative analyses, credit risk reports, and executive-level materials that clearly communicate complex technical findings to non-technical audiences.
  • Support regulatory examinations, internal audits, model governance activities, and validation reviews by providing thorough documentation and analytical justification.
  • Serve as a technical resource and subject matter expert for quantitative credit risk methodologies, mentoring junior analysts and providing guidance on analytical best practices.
  • Identify opportunities to improve data quality, reporting automation, analytical efficiency, and risk measurement capabilities through process enhancements and innovative solutions.
Essential Skills
  • Required Education: Bachelors degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree)
  • 6+ years of relevant experience is required
  • Strong knowledge of quantitative risk management principles, statistical modeling, forecasting techniques, and risk measurement methodologies.
  • Experience supporting and administering CECL models and expected credit loss methodologies for consumer, mortgage, or commercial portfolios.
  • Advanced proficiency in SQL and experience working with large datasets.
  • Proficiency in Python, R, SAS, MATLAB, or other analytical programming languages.
  • Experience with statistical analysis, predictive modeling, and machine learning techniques.
  • Knowledge of credit risk, operational risk, market risk, liquidity risk, or enterprise risk management frameworks.
  • Strong understanding of model governance standards, validation practices, and regulatory expectations.
  • Experience developing dashboards and reporting solutions using tools such as Power BI, Tableau, or similar platforms.
  • Exceptional analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills with the ability to present complex analyses to varied audiences.
  • Ability to influence decisions and collaborate effectively across multiple business functions.
Location

Hillsboro, OR | Marlborough/Chelmsford, MA

Target Compensation

$116,500 - $140,000 + annual bonus

Schedule

Monday – Friday | 8am-5pm (Hybrid)

Who We Are

Every great journey begins with a bold idea—and ours is no different. First Tech and DCU were founded on the belief that financial solutions should put people first. That belief has fueled decades of innovation and service, rooted in the tech sector and expanding to support members from all walks of life.

Employees Are Eligible For
  • Traditional medical, dental, and vision coverage
  • Generous 401(k) match
  • Paid Time Off: You'll accrue up to 15 days in your first year. In addition, you'll receive 40 hours of sick time and 3 personal days, which refresh annually
  • Paid federal holidays
  • Special employee pricing on lending products such as mortgage, auto, and personal loans (eligibility subject to standard account requirements and underwriting criteria)
Employment Statements

First Tech is an equal opportunity employer, and we value diversity, inclusion, and equity at our company. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

If you're applying for a job and need a reasonable accommodation for any part of the employment process, please send an email to recruiters@firsttechfed.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.

First Tech is not currently offering Visa transfer/sponsorship for this position.

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