Internship - Data Scientist - Panel Bias Mitigation in Alternative Data

Capital Fund Management S.A.

Capital Fund Management, founded in 1991, is a global leader in quantitative asset management, utilizing a scientific method to innovate and derive value for clients. The firm's culture values innovation, dedication, and collaboration, offering a vibrant space for experts to push boundaries in research, technology, and business. This role joins the Data and Research teams focusing on refining financial and alternative data to enhance trading models and portfolio strategies.

In this role you can expect to have the responsibilities:

• Analyze and interpret a variety of datasets including traditional, alternative, and sustainability-related datasets.
• Implement models using Bayesian Statistics and Machine Learning to reduce panel biases.
• Replicate research findings and propose innovative enhancements.
• Investigate the predictive potential of panels through clustering and embedding techniques.

This role comes with the following benefits:

This role requires you to have:

• Master’s degree in a quantitative field such as Mathematics, Econometrics, or Financial Engineering.
• Proficiency in Python.
• Fluency in English communication.
• Experience with large datasets and time-series analysis.
• Legal eligibility for a 6-month internship in France.

You would benefit from having:

• Knowledge of Apache Spark.
• Experience in handling and merging diverse data sources.

Capital Fund Management is committed to equal employment opportunities and prohibits discrimination. They are a signatory of the Women Empowerment Principles, emphasizing the importance of diversity in achieving success.