Job Description
We are looking for a highly analytical and detail-oriented Equity Options Data Analyst to join our remote team based in Nashville. In this pivotal role, you will be responsible for processing complex financial data, ensuring data integrity, and delivering actionable insights for our trading desk. If you thrive in a fast-paced environment and are available for our weekend shift, we want to hear from you.
Why Join Us?
- Work from anywhere with a flexible remote culture.
- Competitive salary and comprehensive benefits package.
- Deep dive into the fast-moving world of equity options and derivatives.
The Role:
As a Weekend Data Analyst, you will act as the gatekeeper of our financial data, ensuring that options pricing and volume metrics are accurate for weekend reporting cycles. You will utilize SQL and Python to clean, transform, and visualize data, helping our stakeholders make informed decisions during off-market hours.
Responsibilities
- Execute rigorous data validation and cleaning processes for equity options trade data on weekends.
- Generate detailed weekly and weekend performance reports using SQL and visualization tools.
- Collaborate with quantitative analysts to identify trends and anomalies in options pricing.
- Maintain and optimize data pipelines to ensure 99.9% data accuracy.
- Assist in the development of automated dashboards for real-time market monitoring.
- Document data governance policies and standard operating procedures.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of experience in data analysis, preferably within the financial services or fintech sector.
- Strong proficiency in SQL for complex querying and data manipulation.
- Proficiency in Python (Pandas, NumPy) for data analysis and scripting.
- Deep understanding of equity options, derivatives, and market mechanics.
- Must be available to work Saturday and Sunday (Rotational or Fixed schedule).
- Exceptional attention to detail and ability to troubleshoot complex data issues.