Job Description
Are you a data enthusiast with a deep understanding of financial markets? Apex Financial Analytics is seeking a highly skilled Equity Options Data Analyst to join our dynamic team in Kansas City, MO. This is a full-time position that offers the flexibility of remote work, allowing you to contribute from anywhere in the US.
In this role, you will bridge the gap between complex financial data and actionable business insights. You will be responsible for processing vast amounts of market data, identifying patterns in options flow, and providing critical support to our trading and risk management desks. If you thrive in a fast-paced environment and have a passion for financial modeling and data visualization, we want to hear from you.
Responsibilities
- Market Data Analysis: Monitor and analyze real-time equity options flow, including volume, open interest, and price action, to identify market sentiment and potential trends.
- Dashboard Development: Build and maintain interactive dashboards using tools like Tableau or Power BI to visualize complex options data for internal stakeholders.
- Data Pipeline Management: Design, optimize, and manage ETL pipelines to ensure the accuracy and timeliness of data ingestion from multiple market exchanges.
- Risk Assessment: Collaborate with risk management teams to evaluate exposure and stress test trading strategies based on historical and hypothetical options data.
- Reporting: Generate comprehensive weekly and monthly reports summarizing key market metrics and trading performance.
- Model Validation: Assist in the validation of options pricing models and the development of new analytical tools to enhance trading strategies.
Qualifications
- Education: Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
- Experience: Minimum of 3-5 years of experience in data analysis, specifically within the financial services or equity options market.
- Technical Skills: Proficiency in SQL for complex querying; strong programming skills in Python or R; experience with data visualization tools (Tableau, PowerBI, or D3.js).
- Financial Knowledge: Deep understanding of options pricing models (Black-Scholes, Binomial), Greeks (Delta, Gamma, Theta, Vega), and market microstructure.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex data findings into clear, actionable insights for non-technical teams.
- Remote Work: Must have a reliable high-speed internet connection and a dedicated workspace conducive to remote work.