Poesis

Find predictive signals in large financial, fundamental, and alternative datasets.Design experiments and evaluations that distinguish real improvements from noise.Build rigorous, reproducible ML research systems for rapid experimentation.Develop and deploy production models and signals that remain effective over time.Use real-world outcomes to identify how models and agents can impr

Design and build the architecture for a scalable, reliable agent platform that evolves as models advance.Design and build agent-driven workflows and systems for complex investment problems.Develop evaluation, observability, and feedback systems to improve agent reliability and capability.Solve infrastructure and deployment challenges for running agents reliably in production.Help sh

Prepare large financial datasets for quantitative modeling and investment research.Design and implement quantitative models and agents.Build reliable, scalable, and reproducible systems for feature generation, backtesting, and model evaluation.Convert financial research and model prototypes into robust production systems.Stress-test models and signals to assess their performance and