Job Description
Join Quantum Financial Analytics' dynamic trading analytics team as an Entry-Level Equity Options Data Analyst. This role bridges quantitative finance and data science, offering unparalleled exposure to options market dynamics while developing cutting-edge analytical skills. You'll collaborate with senior quants and traders to transform raw market data into actionable insights that drive our proprietary trading strategies.
We provide comprehensive training in options pricing models, volatility surfaces, and statistical analysis methodologies. Our mentorship-focused environment ensures rapid growth for ambitious graduates passionate about financial markets. Located in Manhattan's Financial District, this position includes competitive benefits and career advancement pathways into quantitative research.
Responsibilities
- Analyze high-frequency options market data to identify pricing inefficiencies and arbitrage opportunities
- Build and maintain SQL databases for options chains, implied volatilities, and greeks
- Develop Python scripts for automated options pricing model validation and backtesting
- Visualize complex options metrics using Tableau/Power BI for trader decision support
- Collaborate with quantitative researchers to improve Black-Scholes and Binomial model implementations
- Monitor market events affecting options premiums and volatility surfaces
- Document analytical methodologies and create audit trails for compliance
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or related field
- Proficiency in SQL for data extraction and manipulation
- Advanced Excel skills with VBA and financial modeling experience
- Basic Python programming with pandas/numpy libraries
- Familiarity with options terminology (calls/puts, strikes, maturities, greeks)
- Strong analytical problem-solving skills with attention to detail
- Ability to thrive in fast-paced trading environment
- Excellent written and verbal communication skills