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Credit Risk Analytics Intern - Summer 2027 - Irving, TX

Irving, Texas - United States of America

Pay
Pay not listedSimilar roles state $95K–$143K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Location(s): Irving, TX Job Schedule: Full-time, 12-week program Degree Level: Junior or Senior Preferred Degree: Data Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Data Science, or related field Sponsorship: Not Available
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What you’ll work on

Full posting
  • Analyze portfolio performance and credit risk trends using large datasets

  • Build dashboards, reports, and visualizations of risk metrics

  • Support predictive modeling and loss forecasting initiatives

  • Run ad hoc analyses of business strategies and policy changes

  • Present findings and recommendations to team and stakeholders

From the employer’s posting
Analyze portfolio performance and credit risk trends using large datasets
Develop dashboards, reports, and visualizations that communicate business performance and risk metrics.
Support predictive modeling and forecasting initiatives related to credit performance, delinquency trends, and loss forecasting.
Conduct ad hoc analyses to evaluate business strategies, policy changes, and operational processes.
Present findings, recommendations, and analytical insights to team members and business stakeholders.

Tools in this posting

  • Python
  • R
  • SQL
  • Excel
  • Power BI
  • Tableau
Source — Tool mentions in context
Preferred: - Experience with SQL, Python, R, or other analytical and statistical programming tools. - Familiarity with data visualization platforms such as Power BI, Tableau, or similar business intelligence tools.
- Strong analytical and problem-solving skills. - Experience using Microsoft Excel for data analysis and reporting. - Ability to interpret data, identify trends, and communicate insights effectively.
- Experience with SQL, Python, R, or other analytical and statistical programming tools. - Familiarity with data visualization platforms such as Power BI, Tableau, or similar business intelligence tools. - Exposure to predictive modeling, forecasting, statistical analysis, or machine learning concepts.

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Live
First seen by us
Oct 15, 2026 · 15 days ago
Recorded sightings
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Last seen by us
Oct 30, 2026

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Job description

View original posting ↗

Location(s): Irving, TX
Job Schedule: Full-time, 12-week program
Degree Level: Junior or Senior
Preferred Degree: Data Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Data Science, or related field
Sponsorship: Not Available


Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation


We are currently looking for a Credit Risk Analytics Intern to join our team in Irving, TX. The Credit Risk team supports key lending decisions by leveraging data, analytics, and predictive modeling to evaluate portfolio performance and drive business strategy. This internship offers an excellent opportunity to work alongside experienced analysts and leaders on real-world projects that influence underwriting, portfolio management, forecasting, and operational decision-making.


A Day in the Life:

  • Analyze portfolio performance and credit risk trends using large datasets to uncover actionable insights.
  • Develop dashboards, reports, and visualizations that communicate business performance and risk metrics.
  • Support predictive modeling and forecasting initiatives related to credit performance, delinquency trends, and loss forecasting.
  • Conduct ad hoc analyses to evaluate business strategies, policy changes, and operational processes.
  • Present findings, recommendations, and analytical insights to team members and business stakeholders.
  • Collaborate with cross-functional teams to support data-driven decision-making and strategic initiatives.

Who We’re Looking For:

Required:

  • Must be currently enrolled in an undergraduate or graduate degree program in Data Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Data Science, or a related field.
  • Students entering their Junior or Senior year at the start of the upcoming academic term.
  • Strong analytical and problem-solving skills.
  • Experience using Microsoft Excel for data analysis and reporting.
  • Ability to interpret data, identify trends, and communicate insights effectively.
  • Strong written and verbal communication skills.
  • Ability to manage multiple assignments and prioritize competing responsibilities.
  • GPA of 3.0 or above (Candidates will be required to provide an official or unofficial transcript during the application process for verification.)
  • Ability to perform work onsite in Irving, TX.

Preferred:

  • Experience with SQL, Python, R, or other analytical and statistical programming tools.
  • Familiarity with data visualization platforms such as Power BI, Tableau, or similar business intelligence tools.
  • Exposure to predictive modeling, forecasting, statistical analysis, or machine learning concepts.
  • Interest in auto finance, risk management, portfolio analytics, or financial services.

What You’ll Look Forward to at Nissan:

Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for our employees to strengthen their relationships and meet people from similar and diverse backgrounds to foster a culture of belonging.


Professional Training and Development: Expand your knowledge and skills through Nissan’s rich innovation offerings, seminars, learning platforms, and leadership trainings.


Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.


It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.


NISSAN FOR EVERYONE


People are our most valuable assets, and Nissan seeks to maximize the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Nissan aims to improve business results through a workplace and business that meets the needs of our employees and customer base.


Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have Business Synergy Teams (BSTs) across the Americas that are open to all employees and seek to connect employees through common interests and foster a company culture where all employees feel supported and included.


Nissan also values inclusion in our business as we respect and recognize the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products, and communicating from a position that will help us continue to offer our customers competitively designed, market-driven products.


Join us as we carry our commitment to our employees and customers into the future.




Irving Texas United States of America
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Location & working pattern

Irving, Texas - United States of America

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Location(s): Irving, TX Job Schedule: Full-time, 12-week program Degree Level: Junior or Senior Preferred Degree: Data Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Data Science, or related field Sponsorship: Not Available Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation
More source context
Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws. It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility. NISSAN FOR EVERYONE

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