Data Scientist / Financial Markets & Alternative Data Sets - Paris
Our client is a leading quantitative investment firm that combines data, research, and technology to solve complex problems across global financial markets.
They are looking for a Data Scientist to help transform vast, complex datasets into signals, insights, and predictive models that support research and investment decisions. Working alongside researchers, engineers, and domain experts, you will contribute to the development of innovative data-driven solutions in a highly collaborative and intellectually stimulating environment.
Responsibilities
- Partner with researchers and stakeholders to identify, evaluate, and develop new data-driven opportunities.
- Analyze large and complex structured and unstructured datasets to uncover predictive signals and actionable insights.
- Design data validation and quality-control methodologies to ensure dataset integrity and reliability.
- Build scalable data processing workflows and analytical tools to support ongoing research efforts.
- Conduct exploratory data analysis and present findings to both technical and non-technical audiences.
- Research and onboard new datasets, assessing their potential value and predictive power.
- Collaborate closely with engineering teams to deploy and maintain data science solutions in production.
Requirements
- 2+ years of experience in Data Science, Quantitative Research, Machine Learning, Analytics, or a related field.
- Strong academic background in Mathematics, Statistics, Computer Science, Physics, Engineering, Economics, or another quantitative discipline.
- Advanced Python skills and experience with data science libraries such as Pandas, NumPy, Scikit-learn, Polars, or similar.
- Strong understanding of statistical modelling, machine learning techniques, and data analysis methodologies.
- Experience working with large datasets and developing analytical solutions in production environments.
- Experience with financial data, alternative data, predictive modelling, or time-series analysis is beneficial but not essential.
What They Offer
- Work alongside highly accomplished researchers, data scientists, and engineers.
- Exposure to some of the most complex and interesting data challenges in the industry.
- Significant ownership and autonomy from day one.
- A collaborative, research-driven culture that values innovation and continuous learning.
- Competitive compensation and excellent long-term career growth opportunities.
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