Job Description
Are you ready to master the complexities of the derivatives market?
Join Meridian Capital Solutions, a forward-thinking financial institution based in Columbus, Ohio. We are seeking a highly analytical Senior Equity Options Data Analyst to join our elite quantitative trading team. In this role, you will bridge the gap between raw market data and actionable trading strategies, utilizing your expertise in equity options to drive profitability and risk management.
Why Join Us?
- Work with cutting-edge financial data and proprietary trading strategies.
- Competitive compensation package with performance bonuses.
- State-of-the-art office in the heart of Columbus.
- Collaborative environment with some of the brightest minds in finance.
The Role:
You will be responsible for the end-to-end lifecycle of equity options data analysis. Your insights will directly influence our market positioning, helping us navigate volatility and identify arbitrage opportunities with precision.
Responsibilities
- Market Data Engineering: Design, develop, and maintain robust ETL pipelines to ingest high-frequency equity options data from various exchanges and data providers.
- Volatility Analysis: Construct and analyze volatility surfaces and implied volatility curves to identify market inefficiencies and pricing anomalies.
- Model Validation: Collaborate with quants to validate options pricing models and back-testing frameworks using Python and R.
- Dashboarding & Reporting: Create interactive visualizations and real-time reporting tools to assist trading desks in making data-driven decisions.
- Data Integrity: Ensure the accuracy, consistency, and security of all equity options datasets used for trading and risk assessment.
- Research Support: Conduct deep-dive research on options strategies (e.g., straddles, iron condors) to assess their viability in current market conditions.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Physics, Finance, or a related quantitative field. Master’s degree preferred.
- Experience: Minimum of 4-6 years of experience in data analysis, financial modeling, or options trading support.
- Technical Skills: Proficiency in Python (Pandas, NumPy, Scikit-learn) or R; Strong SQL skills for database querying.
- Financial Knowledge: Deep understanding of equity options markets, Greeks (Delta, Gamma, Vega, Theta), and option pricing theory (Black-Scholes, binomial trees).
- Tools: Experience working with Bloomberg Terminal, Wind Terminal, or similar financial data platforms.
- Soft Skills: Exceptional problem-solving abilities, attention to detail, and the ability to communicate complex data insights to non-technical stakeholders.