QUANTITATIVE CONSULTANT LISBON
Responsibilities
- Statistical data processing (Data Mining)
- Artificial Intelligence (AI), including generative AI
- Predictive modeling using Machine Learning and Data Science techniques
- Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo)
- Development, validation and audit of financial, risk, marketing and
- oriented models - R&D projects
Requirements
- Recent graduates or final year students.
- Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
- Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc. ) and cloud platforms (AWS, Azure, GCP) is desirable.
- 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:
- Working in the
- 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
- Approximately 10% of business turnover spent on training, with 600 hours of training during the first two years.
- Specialist knowledge courses, external expert courses, professional skills courses and language courses.
- Last year our staff received over 375, 000 hours of training spanning more than 150 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
- University: we maintain a close relationship with the world’s most prestigious universities.
- Social Action: we organize more than 30 community support activities.
- Sports Club: internal and external tournaments.
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