Edge-Driven Index Options Volatility Trader

Trading Interview; Amsterdam; Hybrid; EUR 120,000 - 190,000; Full time

Job summary

IMC is seeking a trader with a strong background in index options volatility to join our team in Amsterdam. You will focus on pricing volatility, executing high-risk strategies, and expanding the desk across EU and US markets.

You will collaborate with quants and engineers to refine models, test ideas, and improve execution tools, latency, and risk management. A strong Python background and a calculated risk appetite are essential for success.

Qualifications

• 2+ years of Index Options volatility trading experience.
• BS, MS, or PhD, preferably in business, economics, or STEM.
• Entrepreneurial mindset with appetite for risk.
• Ability to act and make decisions in a fast-paced environment.
• Analytical and reflective on trades to improve.
• Deep understanding of volatility dynamics.

Responsibilities

• Maximize revenue by identifying and monetizing mispricing and managing positions.
• Monitor and react to volatility shifts, liquidity changes, and macro events.
• Take ownership of index options trading books across EU/US markets with opportunistic strategies.
• Deploy directional and volatility-based trades with market-based signals and scenario analysis.
• Collaborate with quants and engineers to refine pricing models and tools.
• Back test signals and validate new ideas.
• Provide feedback to enhance risk systems and volatility surfaces.
• Perform post-trade reviews to improve execution and hedging.
• Take ownership early to drive strategy forward.

Skills

Index Options volatility trading

Python

Analytical thinking

Decision making

Education

BS/MS/PhD in business/economics/STEM

Tools

Python

Job description

IMC is seeking a trader with a strong background in index options volatility to join our team in Amsterdam. You will focus on pricing volatility, executing high-risk strategies, and expanding the desk across EU and US markets.

You will collaborate with quants and engineers to refine models, test ideas, and improve execution tools, latency, and risk management. A strong Python background and a calculated risk appetite are essential for success.