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Equity Options Data Analyst - Daily Pay - Virginia Beach, VA

Apex Financial Analytics
Virginia Beach
Estimated Salary
USD 75.000 – USD 115.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

We are seeking a highly skilled Equity Options Data Analyst to join our elite financial team in Virginia Beach, VA. In this pivotal role, you will bridge the gap between complex financial data and strategic decision-making. You will be responsible for analyzing equity option trends, forecasting market movements, and developing robust data models that drive our investment strategies.

At Apex Financial Analytics, we believe in rewarding our talent immediately. That is why we offer Daily Pay options for all eligible employees, allowing you to access your earnings as soon as they are worked. Join us to work in a high-performance environment where your analytical prowess directly impacts financial success.

Why Join Us?

  • Daily Pay Option: Get paid on your schedule, not just bi-weekly.
  • Competitive Compensation: Salary range between $75,000 - $115,000 based on experience.
  • Remote/Hybrid Flexibility: Enjoy the best of both worlds with flexible working arrangements.

Key Responsibilities

  • Analyze large datasets of Equity Options to identify market opportunities and risks.
  • Develop and maintain complex financial models using SQL, Python, and R.
  • Generate comprehensive reports and visualizations for stakeholders and senior management.
  • Collaborate with the trading desk to optimize hedging strategies based on data insights.
  • Ensure data integrity and compliance with financial regulations and internal policies.
  • Monitor real-time market data feeds and adjust analytical models accordingly.
  • Conduct A/B testing on different data processing algorithms to improve efficiency.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3+ years of experience in data analysis, preferably within the Equity Options or derivatives markets.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong understanding of financial instruments, specifically options pricing models (Black-Scholes, Binomial).
  • Excellent analytical problem-solving skills with a keen attention to detail.
  • Ability to communicate complex data findings to non-technical stakeholders clearly.
  • Experience with data visualization tools like Tableau, PowerBI, or D3.js.

Responsibilities

  • Analyze large datasets of Equity Options to identify market opportunities and risks.
  • Develop and maintain complex financial models using SQL, Python, and R.
  • Generate comprehensive reports and visualizations for stakeholders and senior management.
  • Collaborate with the trading desk to optimize hedging strategies based on data insights.
  • Ensure data integrity and compliance with financial regulations and internal policies.
  • Monitor real-time market data feeds and adjust analytical models accordingly.
  • Conduct A/B testing on different data processing algorithms to improve efficiency.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3+ years of experience in data analysis, preferably within the Equity Options or derivatives markets.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong understanding of financial instruments, specifically options pricing models (Black-Scholes, Binomial).
  • Excellent analytical problem-solving skills with a keen attention to detail.
  • Ability to communicate complex data findings to non-technical stakeholders clearly.
  • Experience with data visualization tools like Tableau, PowerBI, or D3.js.

Required Skills

SQL Python R Financial Modeling Equity Options Black-Scholes Data Visualization Tableau PowerBI Risk Analysis Derivatives

Ready to Take This Challenge?

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