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hace 4 semanas
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
- Recent graduates or final year students from disciplines related to Mathematics, Physics, Statistics, Econometrics, or other quantitative fields. A Master's degree will be considered for salary determination.
- Postgraduate studies or specialized courses in Data Science, Quantitative Finance, or similar are assets.
- Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools (Hadoop, Hive, etc.) is desirable.
- Solid academic record and strong computer skills.
- Knowledge of additional languages is a plus.
- Proactive attitude, maturity, responsibility, and a strong work ethic.
- Ability to learn quickly and adapt easily to multidisciplinary teams.
We Offer
The best environment to develop your talent:
- Work on high-profile consulting projects for the largest companies, industry leaders, and global challenges.
- Collaborate with top industry management and a professional team with exemplary values and culture.
Ongoing training plan, with approximately 10% of business turnover invested in training:
- 600 hours of training in the first two years, including specialist courses, external expert courses, professional skills, and language courses.
- Over 375,000 hours of training across more than 150 courses last year.
- Participation in a degree program in Business Consulting Management Solutions at ICADE Business School, specializing in Big Data and Data Science.
Career Development
- Promotion opportunities based on merit.
- Partnership-based management model allowing professionals to become partners.
Additional Experiences
- Strong ties with prestigious universities.
- Community support activities organized regularly.
- Internal and external sports tournaments.