Internship - Data Scientist - Foundation Models for Time Series Forecasting
Paris, 75, FR
ABOUT CFM
Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
ABOUT THE ROLE
As pioneers in scientific and quantitative trading, we explore ever-growing datasets, to underpin our trading decisions. The Data Insights team, which comprises of 19 Data Scientists, works closely with the research team to carry out predictive and statistical analyses on extensive datasets.
Foundation models for time series data are similar to other forms of generative AI models that are trained on large-scale time series data sets and can output either deterministic or probabilistic forecasts. Foundation models have been built specifically for time series forecasts. The goal of this internship is to benchmark and fine tune some those models against well known time series models and tree models.
SKILLSET REQUIREMENTS/QUALIFICATIONS
- You have a master’s degree in an applied quantitative discipline (e.g. Mathematics, Econometrics, Statistics, Financial Engineering, Computational Science, Quantitative Finance).
- You are proficient in Python
- You have an experience in Time Series manipulation
- An experience in AWS is a plus
- You are fluent in written and spoken in English
- You are able to think out-of-the-box, rigorous and have good communication skills
- You have the legal right to perform a 6-month internship in France (e.g. EU nationality, student visa, etc.)
EQUAL OPPORTUNITIES STATEMENT
We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.
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