Job Description: The ISI Foundation is seeking to appoint a Senior Data Scientist and a Data Scientist to undertake applied research activities within the recently-funded Innovation Laboratory on Artificial Intelligence of one of the major Italian banks, a mixed initiative between fundamental research performed at ISI Foundation and real-world business-driven challenges posed by the Italian bank.
This project will investigate application of machine learning techniques to the problem of risk overlay for investment portfolios. Investment portfolios are exposed to potential losses due to market shocks, caused by rare and extreme events. This risk, which goes by the name of “tail risk”, originates from the fact that the profit and loss distribution of a portfolio deviates from the normality condition. Asset managers and traders seek to protect an investment portfolio against tail risk, by building a so-called hedging strategy, based on a suitable selection of market instruments. The project is aimed at investigating and developing innovative machine learning algorithms to identify risk drivers in financial portfolios and to devise actionable strategies to mitigate such risks.
The project will be run in direct contact with professionals of the financial sector (traders, structurers and quants), providing a unique opportunity to approach the reality of financial markets through the leading Italian investment bank. Scientific advising will be provided by a multidisciplinary faculty team including Fondazione ISI’s Senior Scientists.
Initial appointment will be for a period of 1 year, with the possibility of renewal.
According to your experience, your responsibilities will involve: Carrying out innovative and business-driven research. Delving into data from different systems, at different timescales, to discover hidden relationships and valuable information. Developing and implementing data science pipeline aimed at bringing profitable and actionable insights into real-world applications. Producing high quality scientific and technical outputs that might be submitted as journal articles, conference papers, and presentations.
Core skills you will need: Ph.D./Master in Computer Science, Physics, Mathematics, Software Engineer or equivalent experience, with special focus on one of the following fields Data Mining, Dimensionality Reduction, Genetic Algorithms, Machine Learning, Applied Statistics, Time Series Analysis. Strong programming skills in Python or C/C++ or Java. Creativity and excellent personal skills. Familiarity with financial mathematics will be a plus. Familiarity with GPU programming will be a plus.
Core skills you will need: Ph.D. in Computer Science, Physics, Mathematics, Software Engineer and >3 years of experience in developing/managing data-intensive R&D projects, with special focus on one of the following fields Data Mining, Dimensionality Reduction, Genetic Algorithms, Machine Learning, Applied Statistics, Time Series Analysis. Good programming skills in Python or C/C++ or Java. Creativity and excellent personal skills and demonstrated ability in leading small research groups. Familiarity with financial mathematics will be a plus. Familiarity with GPU programming will be a plus.
About the Lab: The research is organized in small and agile research groups addressing vertical business challenges under the scientific advisory of the ISI Foundation. We provide a truly international and multidisciplinary research environment with plenty of opportunities for collegial interaction in a highly competitive setting, where unique data-assets from one of the major Italian banks are at the core of data-intensive research to address challenging business-driven problems. We provide a competitive salary according to the qualifications and medical and pension benefits according to the Italian State.
The ISI Foundation is an equal opportunity employer and does not discriminate on the basis of ethnicity, gender, sexual orientation, age, religion or disability.
To apply, please send your cover letter, curriculum vitae and professional reference list to <email@example.com>.
|Lab||ISI Foundation, Turin|
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