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Systematic Options Trader - Anson McCade

Jobs via eFinancialCareers, New York, New York, us, 10261

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Systematic Options Trader - Anson McCade

2 days ago Be among the first 25 applicants Onsite WORKING $200,000 - 250,000 USD Very competitive PnL % split deal Onsite WORKING Location:

New York, New York - United States

Type:

Permanent Systematic Options Trader My client is a leading quantitative trading firm recognized for its cutting-edge research and technology in the derivatives and futures space. As part of continued growth, the firm is expanding its systematic options trading capabilities and is seeking experienced Systematic Options Traders to join their global trading platform. This is a unique opportunity to leverage the firm's advanced infrastructure, data, and execution stack to design, implement, and scale options trading strategies across global markets. Successful candidates will enjoy significant autonomy, direct PnL linkage, and the chance to play a key role in shaping a high-performing systematic options desk. About The Role

Research, design, and implement systematic trading strategies focused on listed options markets Develop pricing models, volatility surfaces, and signal-based strategies across multiple asset classes Build and maintain robust backtesting and simulation frameworks Work closely with quant developers and researchers to optimize execution and risk management Continuously enhance trading performance through data-driven insights and model refinement About You

5+ years' experience in a quantitative or systematic trading environment (options or volatility strategies preferred) Proven multi-year track record managing systematic options strategies or volatility portfolios MSc/PhD in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering, or similar) from a top-tier university Strong understanding of derivatives pricing, volatility dynamics, and options microstructure Expertise in statistical modeling, signal generation, and alpha research Solid programming skills in Python or C++ (experience with backtesting and simulation frameworks a plus) Experience working with large, high-frequency datasets and real-time trading systems Seniority level

Mid-Senior level Employment type

Full-time Job function

Finance and Sales

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