Job Description
Join our award-winning fintech team as an Entry-Level Equity Options Data Analyst and launch your career in quantitative finance! We're seeking a detail-oriented analytics enthusiast to transform complex options market data into actionable insights for our institutional clients. This hybrid role offers mentorship from senior quants and direct exposure to real-world derivatives trading strategies. If you're passionate about market dynamics and data-driven decision-making, this is your gateway to Wall Street without the NYC price tag.
Responsibilities
- Analyze historical and real-time equity options data to identify pricing anomalies and volatility patterns
- Develop automated data pipelines using SQL and Python to process options chain datasets
- Create interactive dashboards (Tableau/Power BI) visualizing greeks, implied volatility, and risk metrics
- Support quantitative analysts by validating pricing models and backtesting strategies
- Collaborate with trading desks to deliver pre-market analytics and post-trade performance reports
- Maintain data quality standards through rigorous cleansing and validation protocols
Qualifications
- Bachelor's degree in Finance, Economics, Statistics, Computer Science, or related quantitative field
- Proficiency in SQL (complex joins, window functions) and Python (Pandas, NumPy)
- Advanced Excel skills (VLOOKUP, PivotTables, array formulas)
- Familiarity with options concepts (calls/puts, strikes, maturities, greeks)
- Experience with visualization tools (Tableau, Power BI, or Matplotlib)
- Strong problem-solving aptitude with attention to numerical precision
- Basic knowledge of statistical analysis (regression, time-series)