Teams at Yuso

Build and optimize high-performance Python applications for energy trading. Implement advanced asynchronous patterns (structured concurrency), optimize data access and structures, integrate with AWS using Infrastructure as Code (CDK), own features from requirements to deployment, collaborate with stakeholders, and champion best practices and testing.

Research, develop and implement asset-backed trading strategies and optimization models for large-scale batteries across multiple markets. Build backtesting and parameter-optimization pipelines, improve forecasting and ML models, support revenue simulations, and work with Trading & Portfolio Management to maximize asset performance.

Build and operate low-latency streaming pipelines and integrations to move market and telemetry data into the data platform. Improve reliability and scale, migrate telemetry, offload analytical workloads, and deliver model tooling, CI/CD, access control, and monitoring for ML models. Collaborate with data engineers, quants, and traders to productionize the data platform on AWS using Infrastructure as Code.