Ecuador / Graduate / Number of vacancies: 2

You will be working in 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 quant support to the business and R&D; projects.

Requirements
- Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields.
- 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.
- 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.
- 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 integral 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.

Clearly defined career plan.
- Internal promotion based solely on merit.
- Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.

Complementary experiences.

📌 DATA SCIENCE CONSULTANT QUITO (Región Metropolitana)
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