Index Options Trader - Strategy, Hedging & Quant Edge

G-20 Group; New York (NY); On-site; USD 600,000 - 1,000,000; Full time

Job summary

G-20 Group, a cross-asset trading firm, seeks an Index Options Trader to manage a discretionary options portfolio and collaborate with traders, researchers, and developers. You will enhance pricing models, refine strategies, and drive risk-adjusted returns in a fast-paced environment.

The role requires a strong options trading background, quantitative analytics, and the ability to apply data-driven decisions.

Qualifications

• Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university.
• Strong background in options trading with understanding of pricing theory, volatility trading, and strategies.
• Proven track record of generating profits (PnL > $2m annually for 3+ years).
• Experience with quantitative trading and applying data analysis to decisions.
• Excellent analytical, problem-solving, and collaboration skills.

Responsibilities

• Develop, implement, and refine index options trading strategies across major indices.
• Analyze market microstructure, order flow, and volatility to identify trading opportunities.
• Collaborate with quantitative analysts and developers to improve pricing models and hedging tools.
• Monitor macro events and policy developments that influence volatility.
• Execute trades with precision and manage liquidity and best execution.
• Manage portfolio Greeks (delta, gamma, vega, theta) and adjust hedges dynamically.
• Contribute to trading infrastructure, data pipelines, and analytics.

Skills

Options trading

Quantitative analysis

Risk management

Collaboration

Communication

Education

Finance/Math/Physics/CS/Engineering degree

Tools

Python

Excel/VBA

SQL

Job description

G-20 Group, a cross-asset trading firm, seeks an Index Options Trader to manage a discretionary options portfolio and collaborate with traders, researchers, and developers. You will enhance pricing models, refine strategies, and drive risk-adjusted returns in a fast-paced environment.

The role requires a strong options trading background, quantitative analytics, and the ability to apply data-driven decisions.