• Participate in the review of the latest academic research related to machine learning in finance.

• Collaborate with data scientists and engineers to develop and implement machine learning models.

• Assist in the cleaning and preprocessing of large financial datasets.

• Help evaluate and improve the performance of machine learning algorithms.

Qualifications:

• Pursuing a degree in Computer Science, Data Science, or a related technical field.

• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

• Strong programming skills, particularly in Python.

• Knowledge of data preprocessing, feature selection, and model validation techniques.

• Ability to present complex results to a non-technical audience.