Description
In this newly created leadership role, you’ll guide a high-performing team of machine learning engineers and researchers in exploring and applying LLM technologies to enhance quantitative research, model development, and trading decision-making. You’ll play a pivotal role in identifying transformative use cases for LLMs within systematic finance — from automating research insights to powering next-generation analytics and signal generation.
- Lead the design and development of LLM-driven tools that empower quantitative researchers and accelerate idea generation.
- Partner closely with machine learning, research, and portfolio management teams to deploy LLM applications that support signal discovery and strategy development.
- Act as a thought leader and subject matter expert on advancements in large language models and generative AI, staying ahead of emerging technologies and their potential applications in systematic trading.
- Provide strategic direction on integrating LLM methodologies into existing research and trading workflows.
- Build, mentor, and lead a team of AI engineers and quantitative researchers , fostering innovation, experimentation, and excellence.
- Collaborate cross-functionally to define best practices for model deployment, scalability, and responsible AI use within the firm.
Job Requirements
Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, Statistics, Machine Learning, or related STEM field.2+ years of hands-on experience researching or applying large language model technologies (e.g., OpenAI, Anthropic, or open-source models).Proven track record of leading technical or research teams in an AI, ML, or quantitative environment.Strong understanding of machine learning fundamentals, model deployment, and natural language processing.Excellent communication and collaboration skills, with the ability to bridge research, engineering, and business objectives.