Systematic Trader
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Before you apply
LocationHong Kong
Work modehybrid
Typefull-time
SeniorityMid
Experience4+ yrs
DepartmentTrading, Quant Front Office
Company size10,000+ people
PostedOct 5, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
SQL
C++
About the role
The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets, including spot and derivatives.
We are looking for an experienced Systematic Trader to develop, operate, and continuously improve systematic strategies in fast-moving electronic markets.
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.