Job Description
About Us: Apex Financial Analytics is a leading firm dedicated to providing high-frequency equity options data and market intelligence. We are currently seeking a detail-oriented and analytical Equity Options Data Analyst to join our team. This is a critical role that supports our weekend trading operations, ensuring data integrity and providing actionable insights to our traders.
Why Join Us?
We offer a competitive salary, comprehensive benefits, and a collaborative environment. Our weekend shift role provides a unique opportunity to work behind the scenes in the financial markets without the standard 9-to-5 pressure, focusing purely on data excellence.
Key Responsibilities:
- Monitor and analyze large-scale equity options datasets to identify market trends, anomalies, and trading opportunities.
- Maintain and clean data pipelines to ensure high accuracy for weekend trading floors.
- Generate complex reports and visualizations using SQL and Python to assist quantitative analysts.
- Collaborate with the trading desk to interpret data models and optimize trading strategies.
- Ensure all data inputs comply with SEC regulations and internal compliance standards.
- Conduct quality assurance checks on weekend market feeds to prevent data discrepancies.
Qualifications:
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- Strong proficiency in SQL for data extraction and manipulation.
- Experience with Python (Pandas, NumPy) or R for statistical analysis.
- Deep understanding of equity options, derivatives, and market microstructure.
- Must be available to work a Weekend Shift (e.g., Saturday & Sunday).
- Excellent attention to detail and problem-solving skills.
Skills: SQL, Python, Excel, Equity Options, Financial Analysis, Weekend Availability, Data Cleaning, Statistical Modeling
Responsibilities
- Monitor and analyze large-scale equity options datasets to identify market trends, anomalies, and trading opportunities.
- Maintain and clean data pipelines to ensure high accuracy for weekend trading floors.
- Generate complex reports and visualizations using SQL and Python to assist quantitative analysts.
- Collaborate with the trading desk to interpret data models and optimize trading strategies.
- Ensure all data inputs comply with SEC regulations and internal compliance standards.
- Conduct quality assurance checks on weekend market feeds to prevent data discrepancies.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- Strong proficiency in SQL for data extraction and manipulation.
- Experience with Python (Pandas, NumPy) or R for statistical analysis.
- Deep understanding of equity options, derivatives, and market microstructure.
- Must be available to work a Weekend Shift (e.g., Saturday & Sunday).
- Excellent attention to detail and problem-solving skills.