Systematic Options Trader

Systematic Options TraderRole Overview: As a Systematic Options Trader, you will join our global team of experts responsible for the innovation, advancement, and day-to-day management of our quantitative systematic trading strategies. You will balance your time between operational, research, and engineering responsibilities. Operational responsibilities include real-time risk management, responding to changing market conditions and risk flows, pricing refinements, and the monitoring of strategy performance. On the research side, you will define the KPIs to be monitored, instrument packet-by-packet inspection of strategy behavior, create new evidence-based parameterization of existing algos as well as creating entirely new solutions. We're looking for extraordinary traders who are committed to our core values: winning, acting with integrity, continuously learning, and cultivating a meritocracy. Location: Miami, FL.Responsibilities:Build a deep understanding of the systematic marking making business, partnering with low-latency developers, alpha researchers, site reliability engineers, pricing researchers, and infrastructure developersIdentify new ways of instrumenting and measuring existing systematic behaviors to drive participation and profitability. Constantly seek out new ways to monitor our own behavior as well as that of competitorsGuide the evolution of the platform and its component strategiesReact to outsized market flows and regime shifts in real time by adjusting a combination of pricing, risk tolerance and strategy parametersIdentify any under-participation in opportunity and formulate a plan to capture itOperational excellence in all aspectsOwn the definition and setting of risk management protections and have authority over trading activitiesQualifications:Bachelor's degree in a STEM or economics program from a top institutionExcellent problem-solving and strategic decision-making; ability to make informed and defensible decisions in a fast-paced trading environmentProficiency in Python and associated data science libraries (pandas/polars, scikit, plotly/matplotlib, …). Must be comfortable writing code to subscribe, process, and display data in soft real-time. Kdb+/Q a plus but not required. Familiarity with Linux, SQL, Git, and VS CodeTrack record of building and operating complex trading strategiesDetail-oriented with excellent written and oral communication skills