Register to the March 2022 session!
The “Data Science for the Detection of Financial Fraud” certificate aims to train participants in supervised and unsupervised econometric and machine learning methods in the specific context of financial fraud detection and the fight against money laundering.
These techniques can be applied to the detection of a great variety of fraud, such as card fraud, insurance fraud, healthcare fraud, tax fraud, money laundering, etc. The course presents both the theoretical foundations of the methods as well as practical illustrations under different statistical software.
The training will be completed by the creation and presentation of a project for the implementation of the techniques learned in class in relation with the problematics of the company in which participants are employed.
- Module 1: Fraud detection - legal insights (2 days)
- Module 2: Data and unsupervised methods for fraud detection (2 days)
- Module 3: Supervised methods for fraud detection (2 days)
- Module 4: Performance measures and model interpretability (2 days)
- Module 5: Presentation of a project (1 day)
Sandie Lacroix-De Sousa: associate professor (MCF) at the University of Orléans and member of the Pothier Legal Research Centre (CRJP, EA 1212).
Specialised in corporate law, her research focuses on the obligations and responsibilities of bankers, the fight against money laundering and corporate engineering law. She is also the co-director of the 2nd year Master’s Degree in Wealth Law and Engineering and she teaches banking and financial law at the Jagiellonian University in Krakow. She is a member of the Compliance Circle and her thesis was awarded the Fondation Varenne prize in the category of economic activities law (2011).
Denisa Banulescu-Radu: associate professor (MCF) at the University of Orléans and member of the econometrics team of the Orléans Economics Laboratory (LEO, FRE CNRS 2014).
Specialised in financial econometrics, her research focuses mainly on the detection of financial fraud and the fight against money laundering, the modelling of financial volatility and the validation of risk model. Denisa is also a member of the Compliance Circle and laureate of the Young Researcher prize of the Financial Markets Authority (“Authorité des Marchés Financiers”) in 2016 and the Thesis prize of the Bank of France Fund in 2015.
The training is ensured by professionals and university teachers specialised in the detection of fraud, the methods of machine learning and the various regulations.
This certificate is intended for a public of professionals who wish to specialise in econometrical and machine learning methods specifically adapted to the context of financial fraud detection.
The targeted public is composed of professionals (Data Scientists, statistical engineers, statistical researchers, consultants, compliance officers, etc.) working within the risk management departments of banks or insurance companies, or in consultancies specialising in fraud detection and the fight against money laundering.
To apply to this training course, please send an email to:
With a resume or a LinkedIn profile attached. The number of participants will be limited to 10 per session. The various skills acquired in employment, the quality of the studies and/or the compatibility between professional experience and the certificate’s programme are the main selection criteria.
The University Diploma “Data Science for the Detection of Financial Fraud” is set within the framework of continuing education. The organisation of classes allows for the continuity of your professional activity. The duration of the training course is 9 days.
The training will take place over 4 months and will include 8 days of training (6 hours per day) divided in 4 sessions of 2 consecutive days, at a rate of 1 session every 3 or 4 weeks.
The last training day will be dedicated to the presentation of projects carried out by the participants and to a conference.
This training course is taught in French. Support documents will be written in French and/or in English.
28 January 2022: End of applications
From 2 February 2022 and 11 March 2022: Preparation of payment applications
Module 1: 17-18 March 2022
Module 2: 7-8 April 2022
Module 3: 5-6 May 2022
Module 4: 2-3 June 2022
Module 5: 24 June 2022
The price of this training is €4,300 net of tax and the Continuing Education Service (SEFCO) can help you in the preparation of your payment applications. The University of Orléans does not charge VAT on its training activities. This price includes the provision of teaching materials and lunch breaks.
A package with the price of the training, transports from Paris (5 SNCF round trips, 2nd class, Paris Gare d’Austerlitz (Austerlitz Station) – Gare d’Orléans Centre (Orléans Centre Station)), and housing for 4 nights (one hotel night per training session of 2 days) is offered for a price of €5,300 net of tax.
The training will take place at the Hôtel Dupanloup, in the city centre of Orléans, a few minutes away from the train station on foot. A combination of the past and the future, this 17th century architectural gem was the residence of the bishops of Orléans until 1905. Completely renovated in 2014, the Hôtel Dupanloup now houses the International University Centre for Research of the University of Orléans.