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Ten-week quantitative trading internship involving classroom training in options theory, market microstructure, and quantitative decision-making. Interns rotate through trading and research, support live trading desks, learn options pricing and strategy optimization, improve pricing models with statistical techniques, and provide data-driven insights. The role includes mentorship, mock trading, real project work, and potential full-time opportunities after graduation.

Manage daily market risk for equity derivatives trading: monitor exposures, stress-test assumptions, evaluate strategies, automate monitoring in Python, improve limits and risk-control frameworks, and support capital and liquidity optimization.

Lead and mentor the trading support team while managing performance and reliability of trading systems. Responsibilities include automation, incident management, and collaboration with traders and engineers to resolve production issues.

Partner with Austin managers and global HR to deliver hands-on HR support across the employee lifecycle. Lead performance management, employee relations, US immigration strategy, PEO vendor management, and HR policy implementation. Use HR data to inform people strategies, support organizational design and growth, and run HR projects to build capability and engagement.

Join a six-month training cohort to learn options theory and trading systems, then contribute to research, build trading intelligence tools, develop automated trading algorithms and pricing models, monitor and optimize strategies, and maintain the company codebase.