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Head Trader

Algorithmic Traders


Primary Responsibilities:

• Operate and oversee algorithmic trading strategies, ensuring alignment with the trading desk’s performance objectives, execution standards, and risk parameters.

• Maintain continuous oversight of trading activity, positions, and market exposure, proactively identifying anomalies, inefficiencies, or opportunities for optimization throughout the trading day.

• Conduct advanced research and post-trade analysis utilizing the firm’s proprietary research infrastructure to evaluate strategy performance and identify opportunities to enhance profitability and execution quality.

• Leverage expertise in market microstructure, historical tick data, and quantitative modeling to generate new sources of alpha and refine existing trading models.

• Collaborate closely with quantitative researchers and strategy developers to propose, test, and implement improvements to strategy logic, including execution, pricing, and risk management components.

• Serve as a key point of coordination between trading, risk management, and technology teams to address production issues and ensure the stability and integrity of trading systems.

• Design, build, and maintain quantitative analytics and modeling tools to support strategy evaluation, monitoring, and research initiatives.

• Partner with operations and back-office teams to resolve trade breaks, reconcile positions, and ensure accurate reporting of trading activity.


Skills and Experience:

• Bachelor’s degree in statistics, mathematics, engineering, finance, or a related quantitative discipline.

• 4–6+ years of experience trading financial products, including derivatives such as options or futures.

• Strong quantitative, analytical, and mathematical skill set with the ability to interpret complex market data and trading behavior.

• Experience with Python for data analysis, research, or trading infrastructure.

• Ability to operate independently while managing multiple priorities in a fast-paced, high-performance trading environment.

• Strong organizational skills, attention to detail, and problem-solving ability.

• Excellent written and verbal communication skills with the ability to collaborate across trading, technology, and risk teams.

• Demonstrated strong work ethic and a team-oriented mindset focused on contributing to the overall performance and success of the trading desk.

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