Credit Risk Analytics Intern
Nissan Motor Corporation
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Stakeholder managementData analysisExcel
- Nice to have
- BudgetingData visualizationStatisticsPython
- Work
- On-site in Irving · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis83%Excel60%Stakeholder management31%Budgeting11%of 72 similar entry-level jobs posted in the US this week
- Listed
- Nov 7, 2026 · still open
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About the Role
Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation. We are looking for a Credit Risk Analytics Intern to join our team in Irving, TX for a full-time, 12-week program. 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 influencing underwriting, portfolio management, forecasting, and operational decision-making.
Key Responsibilities
- 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.
Requirements & Tech Stack
- 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 (Official or unofficial transcript required during application process).
- Ability to perform work onsite in Irving, TX.
Preferred Qualifications
- 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.