Job Description
Join a Leading Fintech Firm in Baltimore, MD
We are seeking a highly analytical Senior Equity Options Data Analyst to join our dynamic team. In this role, you will play a critical part in our quantitative trading strategies by interpreting complex market data and providing actionable insights. We offer an Immediate Hire opportunity for a driven professional ready to make an immediate impact.
As a key member of our data team, you will be responsible for the end-to-end analysis of equity options chains, validating pricing models, and ensuring data integrity across our platforms. If you are passionate about the intersection of finance and data science, this is your chance to work with cutting-edge technology in a high-growth environment.
Responsibilities
- Analyze vast datasets of equity options including open interest, volume, and implied volatility to identify market trends and arbitrage opportunities.
- Develop and optimize SQL queries and Python scripts to automate data extraction, transformation, and reporting processes.
- Collaborate with quantitative researchers to refine and back-test derivative pricing models such as Black-Scholes and Binomial trees.
- Create interactive dashboards using Tableau or PowerBI to visualize market risk and performance metrics for stakeholders.
- Conduct rigorous stress testing on option portfolios to ensure robust risk management protocols are in place.
- Maintain data pipelines and ensure the accuracy and timeliness of data feeds used for trading decisions.
- Provide actionable insights to the trading desk to optimize hedging strategies and minimize exposure.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- 3-5 years of professional experience in data analysis, preferably within the options trading, financial services, or fintech sector.
- Advanced proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) or R.
- Deep understanding of equity options mechanics, Greeks, and pricing models.
- Experience with data visualization tools (Tableau, PowerBI, Qlik) is highly preferred.
- Strong analytical problem-solving skills with a keen attention to detail and accuracy.
- Ability to thrive in a fast-paced, deadline-driven environment.