Imc Index Options Low-Latency Execution Quantitative Trader at IMC to improve electronic execution systems and drive revenue in index options trading. Collaborate with traders, researchers, and developers to enhance strategy execution.
Responsibilities
Drive revenue in low-latency index options trading by building upon and improving our electronic execution systems
Deliver high-quality analysis using a variety of datasets, including options pricing, trades data, and exchange feed
Dive into specific trade examples to understand the behavior of our systems and those of our competitors, identify anomalies, and quantify opportunities
Use backtesting and analysis tools to predict the impact of changes to our execution systems and continuously improve our performance
Work collaboratively with traders, quant researchers, and developers to bring ideas from inception to production
Take early ownership of a defined area of the strategy, for example a certain exchange or execution type, and grow into setting multi-month improvement plans
Qualification
Strong communicator
Required
2+ years of experience in low-latency index options execution, including liquidity providing and taking
Strong understanding of exchange microstructure and how automated trading systems interact with exchanges
Entrepreneurial mindset with a competitive nature, strong ownership mentality, and a bias toward action
Ability to perform efficient analysis on large datasets in Python
Preference for relevant tertiary qualifications (graduate or post-graduate) in a quantitative field: mathematics, computer science, statistics, or similar, with strong academic results
Strong communicator, able to collaborate effectively across trading, research, and development teams
