Job Description
Are you a data-driven professional with a deep understanding of the financial markets? Apex Market Intelligence is seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our growing team in Portland, OR.
In this pivotal role, you will bridge the gap between complex market data and actionable trading strategies. You will be responsible for cleaning, analyzing, and visualizing massive datasets related to equity options, volatility surfaces, and Greeks. If you have a knack for turning raw numbers into clear insights and want to work in a fast-paced financial environment, we want to hear from you.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Work with state-of-the-art financial data infrastructure.
- Opportunity to influence trading strategies through data-driven decisions.
- Culture of innovation and continuous learning.
Responsibilities
- Analyze large volumes of equity option chain data to identify trends, anomalies, and arbitrage opportunities.
- Develop and maintain complex financial models to forecast option pricing and volatility using Python, R, or SQL.
- Create interactive, high-performance dashboards and visualizations (e.g., Tableau, PowerBI, or custom web solutions) to present data to traders and portfolio managers.
- Collaborate with the quantitative research team to refine data feeds and improve the accuracy of market data ingestion.
- Ensure data integrity and implement robust error-checking protocols for all financial datasets.
- Document data pipelines and analytical methodologies to support regulatory compliance and internal knowledge sharing.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- 3+ years of experience in data analysis, specifically within the financial services or derivatives trading sector.
- Strong proficiency in Python (Pandas, NumPy) or R, with a solid understanding of SQL for data manipulation.
- Deep knowledge of equity options, Greeks (Delta, Gamma, Theta, Vega), and option pricing models (Black-Scholes, Binomial).
- Experience with financial data APIs (e.g., Bloomberg, Reuters, CQG) and data warehousing concepts.
- Excellent communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders.