Job Description
Join Quantum Financial Analytics as an Entry-Level Equity Options Data Analyst and launch your career at the intersection of finance and data science. We're seeking a detail-oriented professional to support our derivatives trading desk with actionable insights from complex market data. You'll work alongside senior quants and traders to optimize option pricing models, analyze volatility surfaces, and identify arbitrage opportunities. This role offers comprehensive training in financial instruments and advanced analytics tools, making it ideal for recent graduates passionate about quantitative finance.
Responsibilities
- Analyze equity options market data using SQL and Python to identify pricing inefficiencies
- Support the development and validation of Black-Scholes and binomial pricing models
- Create daily and weekly reports on option Greeks (delta, gamma, vega, theta)
- Collaborate with traders to monitor implied volatility surfaces and skew patterns
- Assist in backtesting trading strategies using historical options data
- Document data sources, methodologies, and model assumptions
- Participate in agile development cycles to enhance analytics tools
Qualifications
- Bachelor's degree in Finance, Economics, Mathematics, Statistics, or Computer Science
- Proficiency in SQL and Python (Pandas, NumPy)
- Familiarity with options pricing concepts (calls, puts, spreads)
- Strong analytical skills with attention to detail
- Ability to work in a fast-paced financial environment
- Basic knowledge of statistical analysis and probability theory
- Excellent written and verbal communication skills
- 0-2 years of relevant internship or academic project experience