Equity Volatility Quantitative Researcher - Options Market Making
Equity Volatility Quantitative Researcher - Options Market Making
Job Title: Equity Volatility Quantitative Researcher - Options Market Making
Location: New York, NY
Firm: Leading Multi-Strategy Hedge Fund
Position Overview:
A premier multi-strategy hedge fund is seeking a highly skilled Equity Volatility Quantitative Researcher to join its Options Market Making team in New York. This role is ideal for candidates with strong quantitative research and modeling experience, specializing in equity options volatility and market-making strategies. The researcher will work closely with traders, portfolio managers, and other quantitative professionals to develop cutting-edge systematic trading strategies in global equity options markets.
Key Responsibilities:
Develop and refine quantitative models for pricing, volatility forecasting, and risk management in equity options markets.
Conduct high-frequency and mid-frequency statistical research to identify trading opportunities in single-stock and index options.
Collaborate with traders and engineers to implement and optimize automated market-making and execution strategies.
Research and apply stochastic models, machine learning, and other statistical techniques to enhance option pricing and risk models.
Design, test, and validate proprietary volatility surface models, signal generation methodologies, and execution algorithms.
Monitor trading performance and refine strategies to improve profitability and risk-adjusted returns.
Work on infrastructure and data pipeline enhancements for large-scale, low-latency options trading.
Stay ahead of industry trends and leverage alternative datasets to inform and refine trading strategies.
Qualifications:
PhD or MS in Mathematics, Statistics, Financial Engineering, Computer Science, Physics, or a related quantitative field.
2-7 years of experience in equity options market-making, volatility trading, or systematic options research at a hedge fund, proprietary trading firm, or investment bank.
Strong knowledge of stochastic calculus, derivatives pricing models (e.g., Black-Scholes, SABR, Heston, local volatility models), and numerical methods.
Proficiency in Python, C++, or Java for developing and implementing trading models.
Experience working with large-scale tick data and order book data to drive trading decisions.
Solid understanding of market microstructure and options trading dynamics.
Strong problem-solving ability, intellectual curiosity, and a passion for quantitative research in options markets.
Preferred Qualifications:
Hands-on experience with high-frequency trading (HFT) or systematic market making strategies.
Knowledge of machine learning techniques applied to options pricing and risk modeling.
Familiarity with exchange connectivity, latency optimization, and real-time risk management.
Strong communication skills to effectively interact with traders, developers, and portfolio managers.
Compensation & Benefits:
Highly competitive base salary and performance-based bonus structure.
Comprehensive healthcare benefits (medical, dental, vision).
Generous retirement and deferred compensation plans.
Flexible work environment with access to cutting-edge technology and research resources.
Relocation assistance available for top candidates.
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