Systematic Options Trader

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

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 developers

• Identify 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 competitors

• Guide the evolution of the platform and its component strategies

• React to outsized market flows and regime shifts in real time by adjusting a combination of pricing, risk tolerance and strategy parameters

• Identify any under-participation in opportunity and formulate a plan to capture it

• Operational excellence in all aspects

• Own the definition and setting of risk management protections and have authority over trading activities

• Bachelor’s degree in a STEM or economics program from a top institution

• Excellent problem-solving and strategic decision-making; ability to make informed and defensible decisions in a fast-paced trading environment

• Proficiency 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 Code

• Track record of building and operating complex trading strategies

• Detail-oriented with excellent written and oral communication skills