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 data-driven decision-making in derivatives trading. This role offers hands-on experience with options pricing models, market data analysis, and financial reporting in a fast-paced environment. You'll collaborate with senior traders and quants while developing expertise in equity derivatives analytics.
We provide comprehensive training in industry-standard tools and methodologies, ensuring you gain practical skills in options valuation, volatility analysis, and risk metrics. Our Cleveland headquarters offers a collaborative culture with mentorship opportunities and clear career progression paths into quantitative analysis and trading support roles.
Responsibilities
- Analyze equity options market data using SQL and Python to identify trading signals and pricing inefficiencies
- Support development and validation of options pricing models (Black-Scholes, Binomial, Monte Carlo)
- Create automated reports on options Greeks, implied volatility surfaces, and risk exposures
- Collaborate with trading desks to provide data-driven insights for options strategies
- Monitor and analyze market events affecting equity derivatives pricing
- Maintain and clean large datasets from multiple financial sources
- Document analytical processes and methodologies for team knowledge base
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field
- Fundamental knowledge of equity options, Greeks, and basic pricing concepts
- Proficiency in SQL for data extraction and manipulation
- Experience with Python (Pandas, NumPy) or R for statistical analysis
- Strong attention to detail with ability to handle large financial datasets
- Basic understanding of statistical concepts (regression, time series)
- Excellent problem-solving and communication skills
- Ability to work in a fast-paced financial environment