Brain AI Researcher

Summary

Join WorldQuant as an AI Researcher and work at the forefront of Artificial Intelligence and Large Language Models (LLMs). You will conduct research in AI and LLMs, design and train AI models to extract insights and generate predictive signals, apply AI concepts to create and enhance algorithms, analyze large-scale financial datasets, collaborate with development teams, and stay updated on the latest advancements in AI. This full-time role requires strong knowledge of AI, ML, and LLMs; proficiency in Python and C++; a solid foundation in mathematics and statistics; and a Bachelor’s or advanced degree in a related field. The ideal candidate will be a creative problem solver with excellent communication skills and a strong interest in financial markets. WorldQuant offers a collaborative team environment and encourages continuous improvement.

Requirements

• Strong knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs
• Proficiency in Python and C++
• Familiarity with PyTorch or TensorFlow
• Solid foundation in mathematics, statistics, and quantitative modeling
• Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or related fields from a leading university
• Creative problem solver with a passion for experimentation and unsolved challenges
• Strong interest in financial markets
• Ability to work in a team-oriented culture
• Excellent communication and presentation skills in English

Responsibilities

• Conduct research in AI and LLMs, experimenting with advanced architectures such as Transformer models, Reinforcement Learning, and Generative AI
• Design, train, and fine-tune LLMs and other AI models to extract insights, and generate predictive signals
• Apply AI concepts to create and enhance alphas and other utilization algorithms on the BRAIN platform
• Analyze large-scale financial datasets to uncover patterns and build predictive models using statistical, mathematical, and machine learning techniques
• Collaborate with platform development teams to design and test new functionalities and datasets
• Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

Preferred Qualifications

Experience with financial datasets is a plus