Applied research positions: ML for finance
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 Intesa SanPaolo, a mixed initiative between fundamental research performed at ISI Foundation and real-world business-driven challenges posed by one of the major Italian banks.
Initial appointment will be for a period of 1 year, with the possibility of renewal.
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 and in direct contact with professionals of the financial sector. 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.
According to your experience, your responsibilities will involve: Manage and lead the research of the Data Science Team. 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: Network Analysis and Graph Analytics, Data manipulation and data analysis, Credit Risk Modeling, Applied statistics, Machine Learning, Econometrics. Strong programming skills in Python/R 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.
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