![](https://neoma-bs.com/sites/default/files/uploaded_images/profs-neoma_0.png)# GERMAIN Arnaud

 

 

 
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- GERMAIN Arnaud
 
  

 

    ![](/sites/default/files/styles/large/public/uploaded_images/photos_academ/674680-germain-arnaud.jpg?itok=vzak1NwS)GERMAIN Arnaud

 Assistant Professor

  

 <arnaud.germain@neoma-bs.fr> 

 

 

 

 - About
 - Academic publications
 
  

 

    [Finance](https://neoma-bs.com/departements/finance) 

    MSc in Business Engineering 

 

Arnaud Germain is an Assistant Professor of Finance at NEOMA Business School.

His research lies at the intersection of machine learning and finance, with applications to credit risk, portfolio selection and financial intermediation. His work develops quantitative and data-driven tools to support financial decision-making. In one line of research, he studies credit selection for collateralized loan obligations using clustering and linear approximations to solve complex portfolio allocation problems.

This work is published in the European Journal of Operational Research.

He has also collaborated for his research with several financial institutions and organizations including the European Investment Fund, Morningstar DBRS and ING.

 

 ###  Areas of research 



- AI/ML in Finance
- Credit Risk
- Portfolio Selection
 
  

 

##   Recent academic contributions  

 GERMAIN, A., "Early Warning System for Non-Performing Clients" in *17th Actuarial and Financial Mathematics Conference*, 2026, Brussels, Belgium 

 GERMAIN, A., F. VRINS, "Clagging: Generating and combining predictions using clustering" in *European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning*, 2026, Bruges, Belgium 

 GERMAIN, A., F. D. VRINS, "Credit Selection in Collateralized Loan Obligation: Efficient Approximation Through Linearization and Clustering", *European Journal of Operational Research*, July 2026, vol. 330, no. 1, pp. 326-342 

 

 

 

##   Publications  

 GERMAIN, A., F. D. VRINS, "Credit Selection in Collateralized Loan Obligation: Efficient Approximation Through Linearization and Clustering", *European Journal of Operational Research*, July 2026, vol. 330, no. 1, pp. 326-342 

 

 

 

##   Conferences  

 GERMAIN, A., "Early Warning System for Non-Performing Clients" in *17th Actuarial and Financial Mathematics Conference*, 2026, Brussels, Belgium 

 GERMAIN, A., F. VRINS, "Clagging: Generating and combining predictions using clustering" in *European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning*, 2026, Bruges, Belgium 

 GERMAIN, A., F. VRINS, "Early Warning System for Non-Performing Clients" in *Credit Scoring and Credit Control Conference XIX*, 2025, Edinburgh, United Kingdom 

 

 

 

##   Conference contributions  

 GERMAIN, A., F. VRINS, "Credit selection in Collateralized Loan Obligation: efficient approximation through linearization and clustering" in *41st International Conference of the French Finance Association (University of Dijon)*, 2025, Dijon, France 

 GERMAIN, A., F. VRINS, "Credit selection in Collateralized Loan Obligation: efficient approximation through linearization and clustering"" in *14th International Conference of the Financial Engineering and Banking Society*, 2025, Montpellier, France 

 GERMAIN, A., F. VRINS, "Loan selection for Collateralized Loan Obligation" in *International Conference on Computational Finance*, 2024, Amsterdam, Netherlands 

 GERMAIN, A., F. VRINS, "Optimal securitization of SME loans: the selection problem" in *15th Actuarial and Financial Mathematics Conference*, 2024, Brussels, Belgium