Crypto Quant Trader: Data-Driven Strategies & Execution

Tokalent; Hong Kong; On-site; HKD 1,000,000 - 1,800,000; Full time

Job summary

Tokalent is seeking a Quant Trader to develop and optimize quantitative trading strategies in digital asset markets. You will analyze market data, apply quantitative models, and execute trades while managing risk and liquidity. Collaboration with data scientists and fellow traders is essential to refine algorithms.

The role requires a strong academic background and programming skills in Python or C++, with a focus on data-driven decision making and risk management.

Qualifications

• Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university.
• Proficiency in programming languages such as Python, C++, or similar (preferred).
• Strong knowledge of financial markets, particularly spot pricing, volatility, and risk management.
• Exceptional analytical and problem-solving skills with the ability to make quick, data-driven decisions.
• Excellent communication and teamwork skills, with the ability to collaborate effectively across teams.
• A results-driven, proactive, and self-motivated approach.

Responsibilities

• Develop, implement, and optimize quant trading strategies across digital asset markets.
• Analyze market data and leverage quantitative models to identify profitable trading opportunities.
• Monitor and manage risk exposures, ensuring strategies align with risk management protocols.
• Collaborate with data scientists and other traders to refine and improve trading algorithms and strategies.
• Execute trades and manage positions effectively, ensuring optimal execution and liquidity.
• Contribute to the continuous improvement of trading systems and technologies.

Skills

Quant trading

Python

C++

Data analysis

Communication

Education

Degree in Finance/Math/Physics/CS

Tools

N/A

Job description

Tokalent is seeking a Quant Trader to develop and optimize quantitative trading strategies in digital asset markets. You will analyze market data, apply quantitative models, and execute trades while managing risk and liquidity. Collaboration with data scientists and fellow traders is essential to refine algorithms.

The role requires a strong academic background and programming skills in Python or C++, with a focus on data-driven decision making and risk management.