For internships, we are looking at duration of 6 months and we are flexible on the starting date (the earlier the better!). The intern will participate to the life of the LAB and will take ownership of one or more topic. We have a great variety of topics, and some of the historical propositions included:
Prediction of which products are the most likely to be interesting for a given client.
Automated Generation of Market Comment.
Optimal Risk Management of Interest Rates Swap Risk.
Regime disentanglement for financial mixture of experts models.
Generative modelling for model control.
Transformers for quantitative investment strategies.
Responsibilities:
Explore and examine data from multiple diverse data sources.
Conceptual modeling, statistical analysis, predictive modeling and optimization design.
Data cleanup, normalization and transformation.
Hypothesis testing: being able to develop hypothesis and test with careful experiments.
Help build workflows for extraction, transformation and loading of different data from a variety of sources and enable linking them to existing systems and datasets.
Ensure the integrity and security of data.
Technical Skills:
Python, Git
Statistics, ML & NN model architectures
langchain / unsloth / huggingface
Pytorch, Sklearn
Behavioral Skills:
Good communication skills
Critical thinking
Ability to Collaborate / Teamwork
Attention to detail / rigor
Eligibility Criteria:
B.E / B.Tech / M.E / M.Tech in any of the STEM fields