A senior data science role at JP Morgan Asset Management focused on enhancing investment processes through advanced machine learning and natural language processing techniques. The role requires expertise in large language models, AI, and deep learning to transform data analysis and decision-making within asset management.
Primary responsibilities include collaborating with stakeholders to develop NLP/ML solutions, applying advanced machine learning techniques to enhance investment functions, collecting and curating datasets, performing model experiments, and delivering actionable insights across investment processes.
Required qualifications include an advanced degree in a quantitative discipline, commercial experience in NLP/LLM techniques, advanced Python programming skills, strong understanding of machine learning algorithms, hands-on experience with deep learning frameworks like PyTorch, and expertise in language models and prompt engineering.
The role offers an opportunity to work with cutting-edge technologies at a global financial leader, enabling professionals to make significant impacts in asset management through innovative data science techniques, continuous learning, and collaboration with world-class technology and business teams.
