Job Description
We are seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our elite trading desk. In this critical role, you will be responsible for monitoring market data flows, analyzing complex options pricing models, and generating actionable insights during our high-volume night shift. This position offers a unique opportunity to work in a dynamic financial environment, with the flexibility to be based in Minneapolis, MN, or operating remotely to cover the Florida market.
As a Night Shift Analyst, you will serve as the eyes on the screen during off-hours, ensuring our trading strategies remain competitive globally. You will utilize advanced data analytics and financial modeling techniques to interpret market volatility and identify trends that drive profitability. Join us to be part of a team that values precision, speed, and strategic thinking.
Responsibilities
- Real-Time Market Monitoring: Continuously monitor equity options flow, market depth, and volatility surfaces to detect arbitrage opportunities and risks.
- Quantitative Analysis: Perform in-depth analysis of options pricing models, including Black-Scholes and binomial trees, to assess the fair value of complex derivatives.
- Data Reporting: Generate and distribute comprehensive daily and weekly reports to the trading floor, highlighting key metrics such as Open Interest, Volume, and Implied Volatility.
- Model Validation: Validate and maintain internal data pipelines to ensure high data accuracy and integrity across all trading systems.
- Collaboration: Work closely with Quants and Developers to refine data feeds and improve analytical tools for the night shift team.
- Risk Management: Assist in identifying potential market anomalies or data discrepancies that could impact risk exposure.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- Experience: Minimum of 3-5 years of experience in financial data analysis, specifically within the equity options or derivatives market.
- Technical Skills: Proficiency in SQL for data extraction and manipulation, and Python (Pandas, NumPy, Matplotlib) for advanced analytics.
- Financial Knowledge: Strong understanding of options theory, the Greeks, and market mechanics.
- Schedule: Must be available to work night shifts (e.g., 11:00 PM - 7:00 AM EST/CST) to support US market coverage.
- Tools: Experience with Bloomberg Terminal, Refinitiv Eikon, or similar market data platforms is highly preferred.