Asset Management - NLP / LLM Data Scientist - Associate

This role provides an exciting opportunity to make a real impact in the asset management industry, work with cutting-edge technologies, and continuously learn and experiment with the latest data science and machine learning techniques.

As an Associate in the NLP / LLM Data Scientist Team within Asset Management, you will be at the forefront of enhancing and facilitating various steps in our investment process. You will apply your passion for data science and machine learning to generate actionable insights for our business partners. Your work will directly contribute to improving our investment process, enhancing client experiences, and optimizing operational processes. You will collaborate closely with business stakeholders, technologists, and control partners to deploy solutions into production.

Job Responsibilities

• Collaborate with internal stakeholders to identify business needs and develop NLP / ML solutions that address client needs and drive transformation.
• Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
• Collect and curate datasets for model training and evaluation.
• Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
• Monitor and improve model performance through feedback and active learning.
• Collaborate with technology teams to deploy and scale the developed models in production.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.

Required qualifications, capabilities, and skills

Preferred qualifications, capabilities, and skills