Quantitative Trading Strategy Algorithm Engineer
Core
Building an AI-driven trading system covering traditional financial assets and on-chain assets to generate sustainable alpha.
Role type
Senior IC quantitative trading strategy algorithm engineer
Builds
AI-driven trading strategies, factor prediction models, and end-to-end quantitative trading pipelines
Domain
Cryptocurrency exchange, traditional finance, quantitative trading, machine learning
Deliverable
production ML models | product features
Required skills
factor mining and validation, machine learning and deep learning model design, strategy backtesting and live deployment, Python programming, large-scale financial time-series data processing, trading mechanism understanding, end-to-end strategy pipeline development
Preferred skills
capital management at scale, cross-market quantitative experience, high-frequency trading or market-making expertise, frontier AI methods (LLMs, reinforcement learning)
Technologies
Python, machine learning frameworks, deep learning frameworks
Responsibilities
Discover and validate trading factors from multi-source data; Design and optimize prediction models using ML/DL; Lead strategy design, backtesting, and live deployment; Build and refine the quantitative trading strategy pipeline; Collaborate on trading system integration for low-latency execution; Explore AI-driven trading across traditional and on-chain markets
Seniority
Senior, hands-on IC