Quantitative Consultant Paris

Job Description:

- Development of normative and non-regulatory models (e.g. regression models, classification models, time series and Monte Carlo simulations) in the fields of banking, insurance, energy and telecommunications
insurance, energy and telecommunications
- Review and validation of regulatory and non-regulatory models in the fields of risk, finance and others
- Statistical data processing
- Mathematical business support: development of algorithms, statistics and probability models.
- R&D projects

* Requirements

* Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. A Master's degree qualification will be taken into account when determining salary conditions.
* Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
* Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.).
* Solid academic record.
* Strong computer skills.
* Knowledge of other languages is desirable.
* Get-up-and-go attitude, maturity, responsibility and strong work ethic.
* Strong ability to learn quickly.
* Able to integrate easily into multidisciplinary teams.

* We Offer

* The best environment to develop talent

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:
* Working in the highest-profile consulting projects in the industry,
* for the largest companies, leaders of their respective markets,
* alongside top industry management as they face challenges at the national and global level,
* as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry

* Ongoing training plan, with approximately 10% of business turnover spent in training

* Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
* Last year our staff as a whole received over 400.000 hours of training, spanning more than 160 courses