HFT Options Quant Researcher

3 weeks ago

New York, United States Selby Jennings Full time

HFT Options Quant Researcher - Single Stock / ETFLocation: New York or London Type: Full-Time Timeline: ASAP (0-6 months noncompete) Experience: 3-6 years Opportunity Join a fast-moving, globally collaborative trading team expanding into options and ETF markets with a presence across several financial hubs. The group operates without silos; researchers, engineers, and traders work together to build high-frequency strategies with a focus on execution and signal monetization. Their trading DNA is rooted in market-taking strategies, with increasing interest in market making and intraday models that carry minimal overnight risk. This role is ideal for someone with hands-on experience in options volatility modeling and trading, looking to contribute directly to strategy development and deployment. Responsibilities Volatility Surface Modeling: Design and calibrate models for implied volatility surfaces across single stock, index, and ETF options and productionize models for deployment across multiple markets. Execution and Monetization: Collaborate with execution teams to monetize signals through optimal trade scheduling and routing; Develop and refine execution strategies for options trading. Work with developers to integrate models into backtesting and live trading systems. Design hedging frameworks and monitor real-time risk. Analyze performance and contribute to strategy improvements. Ideal Candidates: Recently/Formerly working at HFT/Market Maker as a QR for US Single Stock/ETF Options - Zero/under 6 months left on noncompete Currently working at a Global Investment Bank Market Making group on Index vol desk/single stock vol desk who have been designing and fitting the vol surface What We're Looking For 3-5 years of experience in options trading or vol modeling. Strong understanding of options pricing and market microstructure. Experience with vol models (e.g., SVI, SABR, GARCH). Solid programming skills (Python, C++). Background in a quantitative field (Math, Physics, CS, etc.).

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