G-Research
Machine Learning Research Internship
Eligibility
- Students or new graduates in Machine Learning or related disciplines.
- Interest in finance and motivation to learn financial domain.
A 10-week Machine Learning Research Internship based in London, focusing on applied ML research within quantitative finance, including project work with mentorship, culminating in presentations to senior management. Suitable for postgraduate students or early grads with strong ML skills.
Responsibilities
- Conduct innovative and pragmatic mathematical and computational analysis in machine learning.
- Work on a meaningful research project with access to large computing resources.
- Collaborate with mentors and senior staff for guidance and feedback.
- Present research outcomes to senior management.
Requirements
- Post-graduate degree or equivalent experience in Machine Learning or related field; PhD preferred.
- Experience with deep learning, reinforcement learning, Bayesian methods, NLP or approximate inference.
- Strong programming skills in Python and familiarity with scikit-learn, SciPy, NumPy, Pandas, Jupyter.
- Excellent reasoning and mathematical abilities to develop novel models.
Skills
- Machine Learning
- Python
- Deep Learning
- Reinforcement Learning
- Bayesian Methods
- NLP
- Mathematical Modelling
- Scientific Research
- Last checked