Job Description
Join Quantum Financial Analytics as an Entry-Level Equity Options Data Analyst and launch your career in quantitative finance! We're seeking passionate data enthusiasts to decode complex market signals and drive investment strategies. Our New York-based team combines cutting-edge technology with deep market expertise to deliver unparalleled insights. This role offers unparalleled mentorship, exposure to real-world option pricing models, and direct collaboration with senior traders. Perfect for recent graduates with strong analytical skills and a hunger to master financial data science.
Responsibilities
- Analyze large-scale equity options datasets using SQL, Python, and statistical tools to identify market trends
- Build and maintain automated data pipelines for options pricing models and volatility surfaces
- Generate actionable reports on option Greeks, implied volatility, and risk exposures
- Collaborate with traders to translate data insights into executable trading strategies
- Monitor market events and their impact on option valuations across multiple asset classes
- Develop dashboard visualizations for real-time market surveillance and performance metrics
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related quantitative field
- Proficiency in SQL and Python (Pandas, NumPy) with data manipulation experience
- Basic understanding of options pricing models (Black-Scholes, Binomial Trees)
- Strong problem-solving skills with attention to detail in financial data contexts
- Experience with data visualization tools (Tableau, Power BI, or Plotly)
- Ability to work collaboratively in fast-paced financial environments