Job Description
Are you a data-driven professional with a passion for financial markets? Apex Market Analytics is seeking a Senior Equity Options Data Analyst to join our elite team in Portland, Oregon. We offer an immediate start date for the right candidate who wants to make an impact.
In this role, you will bridge the gap between complex data science and high-stakes trading strategies. You will be responsible for cleaning, analyzing, and visualizing vast datasets related to equity options, volatility, and market sentiment to drive actionable business intelligence.
What You Will Do:
- Perform in-depth analysis of equity options chains, pricing models, and implied volatility metrics.
- Build robust ETL pipelines using Python and SQL to ingest and process high-volume financial data.
- Develop interactive dashboards (Tableau, PowerBI) for the trading floor to monitor real-time positions and risk exposure.
- Collaborate with quantitative researchers to refine backtesting models and validate trading signals.
- Ensure data integrity and compliance with regulatory standards (FINRA, SEC).
- Identify market anomalies and trends by leveraging statistical analysis and machine learning techniques.
Requirements:
- BS or MS in Finance, Mathematics, Statistics, or Computer Science.
- 3+ years of experience in data analysis within the financial sector, specifically with derivatives or options trading.
- Expert proficiency in SQL (PostgreSQL/Redshift) and Python (Pandas, NumPy, Scikit-learn).
- Deep understanding of options trading concepts: Calls, Puts, Straddles, The Greeks (Delta, Gamma, Vega, Theta).
- Experience with data visualization tools and big data technologies.
- Strong analytical mindset with the ability to communicate complex findings to non-technical stakeholders.
Ready to accelerate your career? Apply today for this immediate hire opportunity in Portland!
Responsibilities
- Analyze large-scale equity options datasets to identify market trends, volatility patterns, and pricing anomalies.
- Develop and maintain complex SQL queries and Python scripts to automate data extraction and reporting.
- Collaborate with quantitative researchers to validate trading models and backtesting results.
- Design interactive dashboards (e.g., Tableau, PowerBI) for internal stakeholders to monitor portfolio performance.
- Ensure data accuracy, integrity, and compliance with financial regulations.
- Produce detailed weekly and monthly reports highlighting key performance indicators (KPIs) and risk metrics.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 2+ years of experience in data analysis, preferably within the financial services or options trading sector.
- Proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) for data manipulation.
- Strong understanding of options trading concepts, including calls, puts, the Greeks, and implied volatility.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex data findings to non-technical team members effectively.