Systematic Trader

Crypto.com; Hong Kong; On-site; HKD 800,000 - 1,200,000; Full time

Job summary

Crypto.com seeks a Systematic Trader for Hong Kong Trading to develop and operate quantitative strategies across prediction markets, equities, and crypto, including derivatives. You will monitor live P&L, risk, and execution performance while collaborating with researchers and developers to deploy improved systems.

The role requires 4+ years in systematic trading, strong Python and data-analysis skills, and a master's or PhD in a quantitative field. Hybrid work in Hong Kong is offered.

Qualifications

• 4+ years in systematic or quantitative trading with profitability track record.
• Strong Python programming and data-analysis skills; SQL preferred.
• Master's or PhD in a quantitative field, or equivalent experience.

Responsibilities

• Operate and manage systematic trading strategies across markets and derivatives.
• Monitor live P&L, positions, risk, and execution performance.
• Research, backtest, deploy, and improve trading strategies with developers.
• Identify new opportunities across markets, products, exchanges, and venues.
• Analyze strategy performance including latency, costs, and slippage.

Skills

Python programming

Data analysis

Market microstructure understanding

Risk management

Problem-solving

Education

Master's or PhD in quantitative discipline

Tools

SQL

C++ (preferred)

APIs / real-time trading systems

Job description

Systematic Trader Hong Kong Trading - Quant Front Office / Full-time / Hybrid

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets, including spot and derivatives.

Responsibilities

Operate and manage systematic trading strategies and frameworks across prediction markets, equities, and crypto, including spot, perpetuals, futures, options, and other derivatives. Monitor live trading, P&L, positions, risk, and execution performance. Research, backtest, deploy, and improve systematic trading strategies. Identify new trading opportunities across markets, products, exchanges, and venues. Analyze strategy and execution performance, including fills, slippage, adverse selection, transaction costs, and latency. Optimize strategy parameters, position sizing, execution, and risk controls. Work closely with quantitative developers and researchers to implement new strategies and improve trading systems. Participate in local trading coverage and rotating weekend coverage.

Requirements

4+ years of experience in systematic, quantitative, electronic, proprietary, or market-making trading. Demonstrated experience developing, operating, or improving profitable trading strategies. Strong understanding of market microstructure, execution, and risk management. Strong Python programming and quantitative data-analysis skills. Experience working with large market and trading datasets; SQL experience is preferred. Strong analytical and problem-solving skills, with the ability to take ownership in fast-moving markets. Master's or PhD degree in a quantitative discipline, or equivalent relevant quantitative experience.

Preferred

Experience trading in one or more of prediction markets, equities, or crypto markets. Experience with market making, statistical arbitrage, relative value, arbitrage, or other systematic strategies. Experience with exchange APIs, order-book or tick-level data, automated execution, or real-time trading systems. C++ experience is a plus.

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.