Job Description
Join Quantitative Analytics Group as an Entry-Level Equity Options Data Analyst and launch your career in quantitative finance! We're seeking analytical minds passionate about decoding complex market data. You'll collaborate with senior traders and analysts to transform raw options data into actionable insights, supporting our high-stakes trading strategies. This role offers structured mentorship and exposure to industry-leading tools in a dynamic, growth-oriented environment.
Responsibilities
- Analyze historical and real-time equity options data to identify market trends and anomalies
- Build and maintain automated data pipelines for options pricing models
- Develop dashboards visualizing volatility surfaces, Greeks, and risk metrics
- Support quantitative research teams by cleaning and validating options datasets
- Document data sources, methodologies, and analytical results
- Assist in backtesting options trading strategies using Python/R
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related field
- 1-2 years of data analysis experience (internships acceptable)
- Proficiency in SQL and Python (pandas, NumPy)
- Familiarity with options pricing models (Black-Scholes, Binomial)
- Strong attention to detail with numerical data
- Experience with visualization tools (Tableau, Power BI)
- Basic understanding of equity derivatives markets