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 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