Data Quant Developer - Python > Paris > Joboolo FR :
Société : Selby Jennings Lieu : Paris
Our client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world.
They are seeking a DataQuantDeveloper to join their team in Paris .
Key Responsibilities Test/evaluate new alternative datasets in collaboration with quant researchers and data teams Once identified with machine learning and statistical methods, automate the extraction of predictive features Manage the full lifecycle of data science projects:
data acquisition/exploration/engineering, prototyping, and production Operate a wide array of methods, including unsupervised, supervised, learning, natural language processing (NLP), anomaly detection etc Work in collaboration with data engineers, quantitative researchers, to help understand and architect the systems Your present skillset A keen interest in financial markets, data analysis and programming Structured and unstructured data management expertise Advanced programming experience in Python, C/C++, C# is a plus Cloud platforms (AWS, GCP, etc.) expertise Intellectual curiosity to identify emerging and alternative data Capacity to work with autonomy within a global team (researchers and data engineers) Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics 3 years of experience as a Data Engineer/Analyst/Scientist Significant experience in NLP preferred Ability to work in a high-performance, high-velocity environment Excellent communication skills SelbyJennings Paris Accounting / Finance Expérience souhaitée
