Systematic Index Options Trader
Core
Drive revenue in low-latency index options trading by building upon and improving electronic execution systems and delivering high-quality analysis using options pricing, trades data, and exchange feeds.
Role type
Low-latency index options execution quantitative trader
Builds
Electronic execution systems for index options liquidity provision
Domain
Financial markets, index options, low-latency trading
Deliverable
production ML models
Required skills
Low-latency index options execution, exchange microstructure knowledge, Python for efficient large dataset analysis, backtesting and analysis tools, trade behavior analysis
Preferred skills
Graduate or post-graduate degree in quantitative field (mathematics, computer science, statistics), strong academic results
Technologies
Python
Responsibilities
Drive revenue in low-latency index options trading, deliver high-quality analysis using datasets, dive into specific trade examples to identify anomalies and quantify opportunities, use backtesting tools to predict impact of system changes, work collaboratively to bring ideas to production, take early ownership of a defined strategy area
Seniority
Mid-level, hands-on IC
