Options Trader — Global Markets & Quant Strategy

G-20 Group; Zürich; On-site; CHF 180,000 - 280,000; Full time

Job summary

G-20 Group, a Switzerland-based cross-asset trading firm, seeks an experienced Options Trader to manage a discretionary options portfolio across multiple asset classes. You will work with a team of traders, quants, and developers to drive superior risk-adjusted returns for the firm.

The role requires a strong background in options markets, a proven profit track record, and collaboration across data science and trading teams.

Qualifications

• Degree in Finance, Mathematics, Physics, CS or related field from a top-tier university.
• Strong background in options trading with solid understanding of pricing strategies.
• Proven track record of generating profits (PnL > $2m) for >3 years.
• Experience with quantitative trading and data-driven decision making.

Responsibilities

• Develop, implement, and optimize options trading strategies across global markets.
• Analyze market data and leverage quantitative models to identify profitable opportunities.
• Monitor and manage risk exposures, ensuring alignment with risk protocols.
• Collaborate with data scientists, quants, and traders to refine trading algorithms.
• Stay updated on market trends, news, and events affecting options prices and volatility.
• Execute trades and manage positions to ensure liquidity and optimal execution.
• Contribute to ongoing improvements of trading systems and technologies.
• Willingness to work an adjusted schedule covering US hours (1pm-10pm UK time) and some weekends.

Skills

Options trading

Quantitative analysis

Python

C++

Risk management

Communication

Teamwork

Education

Bachelor's degree in Finance/Math/Physics/CS

Tools

Python

C++

Job description

G-20 Group, a Switzerland-based cross-asset trading firm, seeks an experienced Options Trader to manage a discretionary options portfolio across multiple asset classes. You will work with a team of traders, quants, and developers to drive superior risk-adjusted returns for the firm.

The role requires a strong background in options markets, a proven profit track record, and collaboration across data science and trading teams.