Algorithmic Trading Researcher

About the Company

AXQ Capital is dedicated to driving investment through rigorous quantitative research and advanced information technology. We have built a multi-market, multi-strategy investment system covering global equity statistical arbitrage, A-share index enhancement, CTA, equity intraday, and high-frequency futures. Since 2018, we have consistently created long-term stable returns for investors worldwide.

Responsibilities

• Algorithm Strategy R&D: Design, develop, and optimize automated algorithmic trading using probability statistics, machine learning, and control theory to optimize order placement and cancellation logic.
• Micro-signal Mining: Analyze market microstructure, order book dynamics, and high-frequency L3 data to mine efficient short-cycle predictive signals to reduce transaction costs.
• Trading Analysis and Iteration: Conduct comprehensive transaction cost analysis, track and evaluate real-time performance of algorithmic strategies, and lead continuous strategy iteration.
• System Optimization and Backtesting: Participate in optimizing high-fidelity algorithmic trading simulation backtesting systems and data analysis frameworks to ensure consistency between backtesting and live execution.

Requirements

• Bachelor's degree or above from a well-known university with a strong quantitative background in STEM (Computer Science, Electronics, Mathematics, etc.) or Financial Engineering.
• 2+ years of practical work or research experience in algorithmic trading, high-frequency trading, market making, or related fields.
• Deep theoretical and practical understanding of market microstructure.
• Proficiency in Python and solid development skills in compiled languages.
• Knowledge of mainstream high-frequency or large-scale data processing tools and libraries.
• Strong logical reasoning, problem-solving skills, and a passion for quantitative trading.

Preferred Qualifications

• Experience with well-known algorithm providers, high-frequency trading teams, or foreign investment bank execution desks.
• Research published in top academic journals or conferences.
• Awards in international or domestic Mathematics, Physics, or Computer Science Olympiads.