The Role: Quantitative Science is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our scientists are in constant search of new algorithms and methodologies. Scientists at WorldQuant develop high-quality models that add value to our frameworks. 

WorldQuant is seeking an outstanding individual to join our team as an AI Science Intern. The person must have a strong understanding of the scientific machine learning process to be able to work with established scientists to build computer-based models.  While prior finance experience is not required, a successful candidate must also possess a strong curiosity about learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

• Work with the senior team members to develop and implement machine learning models, products, and workflows.
• Help test and generally improve the performance of existing models
• Onboard and explore behaviors of Large Language Models
• Port cutting edge python code running in Jupyter notebooks to internal frameworks
• Explore academic literature on advanced machine learning and mathematical concepts
• Document code, frameworks, and experiments

What You’ll Bring:

• Pursuing a PhD at an accredited four-year university in a quantitative field (e.g., Computer Science, Mathematics, Electrical Engineering, Physics)
• Strong programming skills in Python
• Experience designing, implementing and experimenting with ML models such as FFNNs, RNNs, CNNs, and Transformers
• Strong evidence of being a self-starter and problem-solver
• Research experience in NLP, Deep Learning, or AI is a plus
• Familiarity with platforms such as Linux is a plus
• Interest in financial markets