Credit Risk Analytics Intern - Data Insights (Irving)

Nissan USA; Irving (TX); On-site; USD 25,000 - 30,000; Full time

Job summary

Nissan is seeking a Credit Risk Analytics Intern to join our team in Irving, TX. This internship focuses on leveraging data, analytics, and predictive modeling to support underwriting, portfolio management, forecasting, and operational decision-making.

You will work alongside experienced analysts on real-world projects, develop dashboards and reports, and gain exposure to credit risk concepts, modeling techniques, and data-driven decision processes.

Qualifications

• Must be enrolled in an undergraduate or graduate degree program in Data Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Data Science, or related field.
• Junior or Senior year at start of upcoming term.
• GPA of 3.0 or above; transcript available for verification.

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.

Skills

Analytical skills

Excel proficiency

Written & verbal communication

multitasking

Data interpretation

Education

Undergraduate or graduate degree in data analytics or related field

Tools

SQL

Python

Power BI/Tableau

Job description

Nissan is seeking a Credit Risk Analytics Intern to join our team in Irving, TX. This internship focuses on leveraging data, analytics, and predictive modeling to support underwriting, portfolio management, forecasting, and operational decision-making.

You will work alongside experienced analysts on real-world projects, develop dashboards and reports, and gain exposure to credit risk concepts, modeling techniques, and data-driven decision processes.