Systematic Trader

About the role

The Trading team at Crypto operates in fast-paced electronic markets, focusing on quantitative trading strategies across prediction, equity, and crypto markets. The Systematic Trader will be responsible for developing and managing these strategies, ensuring they are continuously improved for optimal performance.

Success in this role involves monitoring live trading activities, analyzing performance metrics, and identifying new trading opportunities. Collaboration with quantitative developers and researchers is essential to implement and enhance trading systems effectively.

The salary range for this role is between $38,000 and $62,000, reflecting the experience and skills required.

Skills that matter here

• Python Programming: This role requires strong Python skills for developing and analyzing trading strategies.
• C++: C++ experience is beneficial for optimizing trading systems.
• SQL: SQL knowledge is preferred for handling large trading datasets.
• Quantitative Data-analysis: Quantitative analysis is crucial for backtesting and improving trading strategies.
• Market Microstructure: A strong understanding of market microstructure is necessary for effective execution and risk management.
• Risk Management: Risk management skills are essential to monitor and control trading risks.

Who this role suits

• A candidate with a strong quantitative background, preferably with a Master's or PhD.
• Someone who thrives in fast-paced environments and can take ownership of their work.
• An individual with a proactive approach to problem-solving and strategy development.
• A professional with experience in systematic trading, particularly in equities or crypto markets.

From the employer

• 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.

• 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.