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Quantitative Internship ALM Model Development (Assets focus)



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Detalles del trabajo

We're looking for a motivated individual to assist with the development and implementation of asset-liability management (ALM) models. As an intern, you'll work closely with our ALM team to support the development of financial projections and scenarios for various asset products.

Responsibilities

  • Work on developing and maintaining ALM models for assets, including data input, model calibration, and scenario analysis.
  • Collaborate with the assets team to develop behavioural models that capture customer behaviour over time.
  • Conduct sensitivity analysis and stress testing of the ALM models to assess the impact of various risk factors on the financial projections.
  • Analyze the results with the ALM team to identify potential areas of risk or opportunity.
  • Help prepare presentations and reports for internal stakeholders.

We are looking for you if you are

  • Currently in the final year of pursuing a degree in Econometrics, Quantitative Finance, Mathematics, Statistics, Computer Science or a related field. Note that you must hold a student status throughout the duration of the internship.
  • Available for at least 6 months, starting between Feb – April ‘24
  • Studying at a Dutch University (non-EU citizens on non-Dutch Universities are not allowed due to Visa restrictions)
  • Familiar with financial modelling techniques
  • Proficient in coding, preferably Python
  • Excellent in written and verbal communication skills

What we offer

  • The opportunity to gain practical experience in the field of ALM modelling
  • A step towards an international career at ING with a quantitative basis
  • A dynamic and agile working environment

Are you interested?

If you are passionate about finance, have a strong analytical background, and are interested in developing your skills in a dynamic and challenging environment, we encourage you to apply!

For further inquiries, please contact Mauricio Barriga Monteverde, Expert Lead ALM Model Development Assets, via mauricio.barriga@ing.com.

We are looking forward to receiving your application!

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