Job Description
Join Quantum Financial Analytics as an Entry Level Equity Options Data Analyst and launch your career in quantitative finance. We're seeking analytical minds passionate about transforming complex financial data into actionable insights. This role offers hands-on experience with equity derivatives, market volatility modeling, and algorithmic trading support in a collaborative, growth-oriented environment.
Our Columbus-based team combines cutting-edge technology with deep financial expertise to serve institutional investors and hedge funds. You'll work alongside seasoned quants and data scientists, gaining exposure to real-world market dynamics while developing robust analytical frameworks.
Responsibilities
- Analyze equity options market data using SQL and Python to identify pricing inefficiencies and trading opportunities
- Develop automated data pipelines for real-time options pricing and risk metrics
- Create interactive dashboards in Tableau/Power BI to visualize options flow and volatility surfaces
- Support quantitative research by cleaning and structuring large-scale market datasets
- Collaborate with traders to validate analytical models and refine trading strategies
- Monitor options market conditions and generate daily performance reports
- Document data methodologies and maintain data quality standards
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field
- 0-2 years of experience in financial data analysis or quantitative research
- Proficiency in SQL for complex data extraction and manipulation
- Strong programming skills in Python (Pandas, NumPy) or R
- Familiarity with options pricing models (Black-Scholes, Binomial)
- Experience with data visualization tools (Tableau, Power BI, or Matplotlib)
- Basic understanding of equity derivatives and market microstructure
- Detail-oriented approach with strong problem-solving abilities