Quantitative Researcher at Unicode Digital

Job Description

Key Responsibilities

• Conduct in-depth research on high-frequency algorithmic trading strategies for multi-market and multi-variety digital currencies, and assist in building investment portfolios.
• Efficiently use machine learning, deep learning, or reinforcement learning tools to model data and conduct strategy backtesting and optimization.
• Work closely with the team to optimize algorithmic trading systems and implement algorithmic trading strategies.
• Responsible for the operation of trading strategies and risk monitoring.

Job Requirements

• Strong background in quantitative finance, mathematics, statistics, or computer science.
• Proficiency in machine learning, deep learning, or reinforcement learning techniques.
• Experience with algorithmic trading strategies and backtesting frameworks.
• Familiarity with digital currency markets and high-frequency trading.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication and teamwork skills.

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative field.
• Experience with programming languages such as Python, C++, or Java.
• Knowledge of risk management and portfolio optimization techniques.
• Prior experience in the cryptocurrency or financial services industry.