About The Position

Nissan is seeking a Credit Risk Analytics Intern to join its team in Irving, Texas, for a 12-week summer program. The Credit Risk team supports lending decisions by using data, analytics, and predictive modeling to evaluate portfolio performance and inform business strategy. The intern will work with experienced analysts and leaders on projects involving underwriting, portfolio management, forecasting, and operational decision-making. The position is onsite in Irving, TX.

Requirements

  • Currently enrolled in an undergraduate or graduate degree program in Data Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Data Science, or a related field.
  • Entering 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; an official or unofficial transcript is required during the application process for verification.
  • Ability to perform work onsite in Irving, TX.
  • Legally authorized to work in the United States and able to provide proof of employment eligibility at hire; Nissan uses E-Verify.
  • Employment is contingent on successful completion of drug and background screenings in accordance with Nissan policies and applicable law.

Nice To Haves

  • 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.

Responsibilities

  • Analyze portfolio performance and credit risk trends using large datasets to identify actionable insights.
  • Develop dashboards, reports, and visualizations communicating business performance and risk metrics.
  • Support predictive modeling and forecasting initiatives related to credit performance, delinquency trends, and loss forecasting.
  • Conduct ad hoc analyses evaluating 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.

Benefits

  • Opportunities to connect with colleagues through Business Synergy Teams (ERGs).
  • Professional training and development through innovation offerings, seminars, learning platforms, and leadership trainings.
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