Head Trader
talisman, Chicago, IL, United States
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.
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.