Job Description
Are you a detail-oriented analyst looking to make a significant impact in the world of finance? Apex Financial Systems is seeking a talented Equity Options Data Analyst to join our growing team in Charlotte, NC. We pride ourselves on delivering top-tier financial insights and offer competitive compensation with daily pay options for our valued employees.
In this role, you will be the bridge between raw market data and actionable trading strategies. You will utilize your analytical prowess to decode equity options trends, ensuring our clients stay ahead of market volatility. If you are passionate about data, finance, and technology, this is the opportunity for you.
What We Offer:
- Competitive Salary: Based on experience, up to $115,000.
- Daily Pay: Access to your earnings whenever you need them.
- Modern Environment: Work with the latest fintech tools and methodologies.
Responsibilities
- Perform deep-dive analysis on equity options data, including Open Interest, Volume, and Implied Volatility surfaces.
- Develop and maintain complex SQL queries to extract and clean large datasets from various market data providers.
- Create interactive, high-performance dashboards using Tableau or PowerBI to visualize complex financial metrics for stakeholders.
- Collaborate with the trading desk to interpret data anomalies and suggest hedging strategies.
- Monitor real-time market movements and generate automated reporting packages to keep the team informed.
- Document data pipelines and analysis methodologies to ensure compliance and reproducibility.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Minimum of 3 years of experience in data analysis, specifically within the equity derivatives or options trading sector.
- Strong proficiency in SQL (PostgreSQL/MySQL) and Python (Pandas, NumPy) for data manipulation and modeling.
- Expert level knowledge of Microsoft Excel, including VBA and complex formulas.
- Familiarity with Bloomberg Terminal or similar financial data terminals is highly preferred.
- Strong analytical mindset with the ability to spot trends and patterns in noisy financial data.