Intern - Quantitative Trading

Hilltop Securities Inc. is a financial services company seeking a Quantitative Trading Intern for its Commodities and Structuring group. The intern will work with a lead strategist to develop production-quality quantitative and deep learning models in PyTorch, conduct original research, support quantitative investment strategies, and present findings to stakeholders.

What you'll do:

• Work directly with lead strategist to learn about capital markets
• Applied quantitative financial model development inside diverse domestic and global capital markets
• Work with lead strategist on predictive model development
• Develop original predictive models using the latest quantitative techniques neural networks (NN), and other large language models (LLM) models with PyTorch
• Will work with QIS (quantitative investment strategies) product development
• Will work with different types of data with a focus on large data sets
• Deliver presentations to internal and external stakeholders including Managing Directors
• Other special projects and duties as assigned

What they're looking for:

• Excellent analytical, verbal, written communication skills
• Experience using Python, PyTorch, VS Code, Anaconda, Excel are essential
• Exposure to neural networks (NN), large language models (LLM), large data sets, deep learning methods
• Proven self-starter who can initiate tasks, work independently, and follow up to completion to produce high quality results in a timely manner
• Exceptional time management and organizational skills
• Rising sophomore or junior or studying (but not limited to) mathematics, statistics, economics, pure sciences, data science, computer science, engineering, finance, or other related fields
• Candidate must have authorization to work for any employer in the US without requiring sponsorship, whether in student status or not
• Experience/exposure to AI centric image recognition/processing techniques is a benefit but not required
• Experience/exposure to Bloomberg is a plus but not required