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BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

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The Equity Derivatives Trading Desk at BBVA acts as a liquidity provider for institutional and corporate clients across global equity markets, offering competitive pricing and tailored risk management solutions.

About the job:

About the Role: 

We are seeking an experienced Equity Derivatives Flow Trader to join our desk as a key liquidity provider. In this role, you will manage risk and drive profitability across a diverse portfolio of equity derivatives, focusing primarily on vanilla options and light exotics. You will play a pivotal role in pricing client flows, dynamically hedging complex risk exposures, and leveraging technology to optimize our trading capabilities.

Key Responsibilities:

• Actively provide liquidity and manage risk for a portfolio of vanilla and light exotic equity derivatives.

• Provide competitive and timely pricing to institutional and corporate clients, working closely with the Sales team to capture market share and drive franchise revenue.

• Advanced knowledge in Python to develop, optimize, and automate internal tools.

• Monitor global equity markets to identify trading opportunities, optimize inventory, and generate actionable market color for internal teams and clients.

• Contribute to the continuous improvement of portfolio risk and profitability reporting.

• Ensure strict adherence to risk limits, internal trading policies, and regulatory standards.

What Are We Looking For?

Qualifications:

• Experience: 3+ years of front-office experience in Equity Derivatives Trading.

• Technical Knowledge: Deep understanding of options pricing, volatility dynamics, and Greek risk management across equity markets.

• Programming: Advanced knowledge in VBA, Python applied to quantitative model development, financial data analysis, and task automation.

• Education: Bachelor’s or Master’s degree in a quantitative discipline (Finance, Economics, Mathematics, Engineering, Physics, or similar).

• Core Skills: Exceptional analytical capabilities, keen attention to detail, and the ability to make rapid, data-driven decisions in a high-pressure environment.

• Culture: Strong communication skills and a collaborative, team-oriented mindset.

• Languages: Professional fluency in English is required; Spanish is a strong plus.

Skills: