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
