Job Description
Are you a detail-oriented data analyst with a passion for financial markets? Apex Market Intelligence is seeking a highly skilled Equity Options Data Analyst to join our growing team in Chicago, Illinois.
We are a leader in providing high-fidelity market data analytics to institutional traders and hedge funds. In this role, you will bridge the gap between raw market data and actionable trading strategies. We offer competitive compensation packages and daily pay opportunities for our eligible employees, ensuring you are rewarded for your hard work immediately.
Why Join Us?
- Work with cutting-edge financial data in the heart of the Windy City.
- Access to daily pay options for better financial flexibility.
- State-of-the-art trading floor and remote-first hybrid work culture.
- Competitive base salary and performance bonuses.
Responsibilities:
- Extract, clean, and normalize large datasets related to equity options, including Open Interest, Volume, Implied Volatility, and Greeks.
- Develop and maintain Python/R scripts to automate data processing pipelines and generate real-time market insights.
- Collaborate with trading desk analysts to interpret volatility surfaces and pricing discrepancies.
- Create interactive dashboards using Tableau or Power BI to visualize options flow and market sentiment.
- Conduct statistical analysis to identify market trends and potential arbitrage opportunities.
Qualifications:
- Bachelor’s degree in Mathematics, Statistics, Finance, Computer Science, or a related field.
- 3+ years of experience in data analysis, specifically within financial markets or equity derivatives.
- Proficiency in Python (Pandas, NumPy) or R for data manipulation.
- Strong command of SQL for querying relational databases.
- Deep understanding of options pricing models (Black-Scholes, Binomial) and market terminology.
- Experience with Bloomberg Terminal or similar financial data terminals is highly preferred.
Responsibilities
- Extract, clean, and normalize large datasets related to equity options, including Open Interest, Volume, Implied Volatility, and Greeks.
- Develop and maintain Python/R scripts to automate data processing pipelines and generate real-time market insights.
- Collaborate with trading desk analysts to interpret volatility surfaces and pricing discrepancies.
- Create interactive dashboards using Tableau or Power BI to visualize options flow and market sentiment.
- Conduct statistical analysis to identify market trends and potential arbitrage opportunities.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Finance, Computer Science, or a related field.
- 3+ years of experience in data analysis, specifically within financial markets or equity derivatives.
- Proficiency in Python (Pandas, NumPy) or R for data manipulation.
- Strong command of SQL for querying relational databases.
- Deep understanding of options pricing models (Black-Scholes, Binomial) and market terminology.
- Experience with Bloomberg Terminal or similar financial data terminals is highly preferred.