Job description
The teams of the Analytics Department of the Credit Department are in charge of designing and monitoring (Monitoring / Backtesting) statistical models for all the international subsidiaries of the RCI group and various customer segments (General Public, Businesses, Alliance brand dealer networks).
Missions:
- Reporting to the Head of the Scoring and Provisioning Methodology Department, the main missions of the Score Analyst are:
Development of statistical models for all subsidiaries of the RCI Banque group and the following functional areas:
Operational credit risk models: grant scores, fraud scores, collection scores, over-indebtedness scores
Client, CRM, Marketing Datamining models: Appetite scores, renewal scores, data analyzes, segmentations, analytics in the broad sense.
IFRS 9 provisioning models :
- Guarantee of the performance of statistical models in production
- Regular review of stability, performance and forecast of all models used (Backtesting)
- Redevelopment of models in the event of unsatisfactory backtesting
- In charge of a scope of English-speaking subsidiaries
Profile:
- Scientific training BAC + 5 (mathematics, statistics)
- You master SAS software, data mining techniques, statistical modeling and scoring, on complex databases, applied to credit risk and marketing.
- You know ORACLE (SQL language) and classic office tools.
Fluent English: TOEIC 850 minimum.
Experience :
- You have experience in statistical modeling in a consulting firm or a financial institution.
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