You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and providing quantitative support to business and R&D projects.
Requirements
1. Recent graduates or final year students.
2. Desirable 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.).
3. Solid academic record.
4. Strong computer skills.
5. Postgraduate studies and/or specialised courses, especially in Data Science, Quantitative Finance, or similar, are an asset.
6. Knowledge of other languages is desirable.
7. Get up and go attitude, maturity, responsibility, and strong work ethic.
8. Strong ability to learn quickly.
9. Able to easily integrate 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 on high-profile consulting projects in the industry,
* for the largest companies, leaders in their markets,
* alongside top industry management facing national and global challenges,
* as part of an extraordinary team of professionals whose values and culture set industry benchmarks.
Ongoing training plan, with approximately 10% of business turnover dedicated to training
* Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
* Last year, our staff received over 375,000 hours of training across more than 150 courses.
Clearly defined career plan
* Internal promotion based solely on merit.
* The partnership-based management model offers all professionals the opportunity to become part of the firm’s group of partners.
Complementary experiences
* University: maintaining close relationships with prestigious universities worldwide.
* Social Action: organizing more than 30 community support activities.
* Sports Club: internal and external tournaments.
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