Position Overview
Responsibilities - Manage and optimize an algorithmic, delta-neutral strategies portfolio using high-frequency and medium-frequency models
- Manage backtest schedules and allocate capital to existing strategies
- Automate processes to ensure efficiency in model deployment and execution
- Structure workflows from data cleaning to production-ready pipelines
- Collaborate with engineering and DevOps teams to optimize infrastructure and connectivity
Requirements - Proven live-trading experience with a documented strategy performance record (Sharpe Ratio 3.0+, Daily Capital Turnover 3.0+)
- Deep understanding of market microstructure, execution optimization, and latency sensitivity
- Experience with ML pipelines and MLOps tools
- Familiarity with tools such as Kedro, Optuna, or similar orchestration systems
- Ability to work independently with minimal onboarding support