Credit Risk Portfolio Internship | AI & Data Analytics

Rabobank Gruppe

Utrecht

Hybrid

EUR 6,100 - 7,300

Full time

4 days ago
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Benefits offered by this job

Internship allowance €600 gross per月
Guidance from experienced mentors
Professional working environment
Internship community and events

Job summary

Rabobank in Utrecht offers a Graduation Internship in Credit Risk Portfolio Management to work on a strategic portfolio management challenge. You will analyse risks, trends and developments in Rabobank’s business lending portfolio and translate these into actionable insights for data-driven decisions.

You will explore how data and technology can help identify developments earlier, improve portfolio insights and support credit-related decisions.

Qualifications

  • Pursuing a Master's degree in Econometrics, Economics, Data Science, Artificial Intelligence, Technical Business Administration or a related field.
  • Strong analytical and quantitative skills.
  • Enjoy working with data, models and complex business questions.
  • Affinity with artificial intelligence, machine learning, predictive analytics or data-driven innovation.
  • Clear communication and ability to translate analyses into insights.
  • Curious, proactive and eager to learn.

Responsibilities

  • Analyze how lending portfolios develop over time and how risks evolve.
  • Investigate strategic questions contributing to portfolio steering and policy development.
  • Apply data science, ML, and predictive analytics to improve portfolio insights and risk monitoring.

Skills

Analytical thinking
Quantitative skills
Data analysis
AI interest

Education

Master's degree in Econometrics, Economics, Data Science, AI, Technical Business Administration or related field

Job description

Rabobank in Utrecht offers a Graduation Internship in Credit Risk Portfolio Management to work on a strategic portfolio management challenge. You will analyse risks, trends and developments in Rabobank’s business lending portfolio and translate these into actionable insights for data-driven decisions.

You will explore how data and technology can help identify developments earlier, improve portfolio insights and support credit-related decisions.

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