Job Description
Join our dynamic finance team as an Entry-Level Equity Options Data Analyst and launch your career in quantitative finance! At Global Financial Analytics, we empower talented newcomers to decode complex market data and drive strategic decisions. This hybrid role (3 days in NYC office) offers mentorship from industry veterans while you build expertise in options pricing, volatility modeling, and risk analytics. You'll work with cutting-edge tools to transform raw market data into actionable insights that shape our trading strategies. If you're passionate about financial markets and eager to master data-driven analysis, this is your gateway to Wall Street.
Responsibilities
- Analyze equity options pricing data using SQL and Python to identify market inefficiencies
- Develop automated reports for volatility surfaces and implied term structures
- Support quantitative analysts by cleaning and validating options market data feeds
- Create interactive dashboards in Tableau to visualize options risk metrics
- Assist in backtesting options trading strategies using historical datasets
- Collaborate with traders to document data anomalies and system requirements
- Stay updated on regulatory changes affecting options reporting standards
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related field
- 1-2 years of academic or internship experience with financial data analysis
- Proficiency in SQL and Python (Pandas, NumPy) for data manipulation
- Familiarity with options pricing models (Black-Scholes, Binomial)
- Strong attention to detail with ability to validate large datasets
- Basic knowledge of equity derivatives and market conventions
- Experience with data visualization tools (Tableau/Power BI preferred)
- Ability to communicate technical concepts to non-technical stakeholders