Job Description
Join our dynamic team as an Entry-Level Equity Options Data Analyst at Quantum Financial Analytics! We're seeking a detail-oriented professional passionate about transforming complex financial data into actionable insights. This role offers unparalleled exposure to equity derivatives markets while supporting our institutional clients' risk management and trading strategies. You'll work alongside seasoned quants and traders in a collaborative, fast-paced environment that values curiosity and analytical rigor.
Our Cleveland hub combines Midwestern work ethic with cutting-edge fintech innovation. We provide comprehensive training in options pricing models, market data platforms, and regulatory compliance frameworks. This position is ideal for recent graduates with strong quantitative skills looking to build a career in financial analytics.
Responsibilities
- Analyze and interpret equity options market data using SQL, Python, and R
- Build automated reports for volatility surfaces, Greeks calculations, and risk metrics
- Support quantitative team with data cleaning and validation for derivative pricing models
- Monitor market events impacting options pricing and alert stakeholders to anomalies
- Collaborate with traders to develop custom analytics for complex strategies
- Document data methodologies and maintain audit trails for regulatory compliance
- Present findings to senior analysts using visualization tools like Tableau
Qualifications
- Bachelor's degree in Finance, Mathematics, Statistics, or related quantitative field
- 0-2 years of experience in data analysis, internships, or academic projects
- Proficiency in SQL for data extraction and manipulation
- Strong knowledge of Excel with advanced functions (VLOOKUP, INDEX-MATCH)
- Familiarity with Python (Pandas, NumPy) or R for statistical analysis
- Basic understanding of options concepts (calls/puts, moneyness, time decay)
- Excellent attention to detail and problem-solving abilities
- Ability to thrive in deadline-driven financial environments