Data Quant Developer - Python

Our client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. They are seeking a Data Quant Developer to join their team in Paris. Key Responsibilities Test/evaluate new alternative datasets in collaboration with quant researchers and data teamsOnce identified with machine learning and statistical methods, automate the extraction of predictive featuresManage the full lifecycle of data science projects: data acquisition/exploration/engineering, prototyping, and productionOperate a wide array of methods, including unsupervised, supervised, learning, natural language processing (NLP), anomaly detection etcWork 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 programmingStructured and unstructured data management expertiseAdvanced programming experience in Python, C/C++, C# is a plusCloud platforms (AWS, GCP, etc.) expertiseIntellectual curiosity to identify emerging and alternative dataCapacity to work with autonomy within a global team (researchers and data engineers)Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics3+ years of experience as a Data Engineer/Analyst/ScientistSignificant experience in NLP preferredAbility to work in a high-performance, high-velocity environmentExcellent communication skills #J-18808-Ljbffr