Trexquant Investment Lp - Stamford, CT
posted about 1 month ago
Full-time - Senior
Stamford, CT
About the position
The Head of LLM Quantitative Strategy Team at Trexquant is responsible for leading a team of researchers to develop and implement advanced machine learning models for trading strategies based on large language models (LLMs). This role requires a deep understanding of LLMs and the ability to apply machine learning methodologies to complex datasets, driving innovation in quantitative finance.
Responsibilities
- Lead and develop a team of researchers in researching, implementing, and trading profitable LLM based quantitative strategies
- Continuously stay updated on the latest LLM research and integrate it into signal development and into our general investment process
- Stay abreast of the latest advancements in machine learning, natural language processing, and quantitative finance, and apply cutting-edge techniques to enhance Trexquant's investment capabilities
- Identify datasets useful for building LLM trading strategies and build pipelines to feed these data into our research and trading platforms
- Conduct research and experimentation to develop novel machine learning models for quantitative trading strategies across various asset classes and time horizons
- Work with the development team to improve accuracy, robustness, and speed of our platform in simulating and trading LLM based strategies
Requirements
- Bachelor's, Master's or Ph.D. degrees in machine learning, Computer Science, statistical modeling or other related STEM fields
- 4+ years of experience in machine learning research and development, with a focus on large language models and high-volume, data-intensive applications
- Strong proficiency in programming languages such as Python, and experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
- Demonstrated track record of developing and implementing machine learning models in real-world applications, preferably in the context of quantitative trading or algorithmic trading
- Experience managing and growing a team of quant researchers
Benefits
- Competitive salary, plus bonus based on individual and company performance
- Collaborative, casual, and friendly work environment
