About the job
About Poesis
Poesis is an innovative AI-native investment management firm, leading the charge in developing a pioneering foundation model for investing in U.S. equities. We are crafting modular AI systems designed to predict market fluctuations and surpass traditional managers. This role involves engaging in cutting-edge research that yields immediate, real-world validation. Your contributions will play a crucial role in shaping investment strategies and enhancing portfolio outcomes.
Location & Workstyle
Based in the San Francisco Bay Area (close to Stanford), this position is Hybrid: requiring several days on-site each week.
Relocation assistance is available.
About the Role
At Poesis, we are establishing a machine learning-driven hedge fund focused on innovative trading strategies. We are seeking a Founding Quant Developer to transform research concepts into production-grade software. Collaborating closely with the Head of Engineering and Chief Scientist, you will develop data pipelines, implement models, and guarantee that results are clean, reproducible, and transparent.
This role is highly hands-on and offers a steep learning curve, making it perfect for individuals with robust technical skills who are eager to gain experience in both engineering and quantitative finance within a startup environment. Expect strong guidance from Poesis’ Chief Scientist and CEO, as you will be accountable for converting their research ideas and specifications into thoroughly tested, production-ready code.

