Postdoctoral researcher in data science and financial econometrics
Université Orléans · State civil service
En français : Chercheur postdoctoral en science des données et économétrie financière
This job in plain words
The postdoctoral researcher will work at the Laboratoire d'Économie d'Orléans (LEO) at the Université d'Orléans. They will develop methods to detect fraud in insurance, social contributions and banking.
Can you apply?
Open only to contract agents. Civil servants are not concerned by this offer.
- Category
- Category A (executive)
- Diploma
- Ph.D. · PhD in data science, machine learning, econometrics, finance, statistics or a related field
- Contract
- Contract agent, postdoctoral position, full time. Length not stated.
The profile they want:
- PhD in data science, machine learning, econometrics, finance, statistics or a related field
- Expertise in econometrics, machine learning and deep learning (anomalies, classification, time series)
- Strong skills in Python, R and SQL
- Experience with large datasets and feature engineering
- Knowledge of explainable AI
- Excellent English, written and spoken
What you would do
- Develop machine learning and deep learning models to detect fraud
- Implement interpretable methods for anomaly detection
- Prepare and analyse large datasets from different financial sectors
- Compare existing detection methods
- Validate models on proprietary data with industrial partners
- Publish 2 to 3 articles and present results at conferences
How to apply
Apply on the employer's website, using the link on the Choisir le Service Public offer. Send your CV and cover letter before the deadline.
Documents to send:
- A CV with the list of publications
- A cover letter of 2 pages maximum
- A representative scientific article
Good to know:
- Remote work possible depending on the department, 1 to 2 days per week
- 57 days of annual leave, including 10 RTT days
- Mandatory group health insurance, partly paid by the employer
- Position available from January 2027
We wrote this summary automatically from the official offer. Only the offer published on Choisir le Service Public counts: read it before you apply. Source: Choisir le Service Public (DGAFP), Etalab 2.0 licence.
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