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Data Analyst - Equity Options (Fresno, CA)

Apex Financial Analytics
Fresno
Estimated Salary
USD 80.000 – USD 115.000
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Are you a data enthusiast with a passion for the financial markets?

Apex Financial Analytics is seeking a talented and detail-oriented Data Analyst to join our dynamic team in Fresno, California. In this pivotal role, you will leverage your analytical skills to interpret complex equity options data, helping to drive investment strategies and optimize portfolio performance. You will act as the bridge between raw market data and actionable business insights, creating clear visualizations and robust models that empower our trading floor.

We offer a competitive salary, comprehensive benefits, and a collaborative environment where your analytical expertise will directly impact the bottom line. If you are ready to take your career to the next level in a high-growth environment, apply today.

Responsibilities

  • Analyze Equity Options Data: Conduct in-depth statistical analysis of equity option chains, implied volatility, and Greeks to identify market trends and arbitrage opportunities.
  • Dashboard Development: Design and maintain interactive, real-time dashboards using Power BI or Tableau to visualize complex financial metrics for the trading team.
  • Data Modeling: Build predictive models to forecast pricing movements and volatility surfaces, providing quantitative support for trading decisions.
  • Collaboration: Partner with senior traders and risk managers to translate data findings into actionable trading signals and strategic recommendations.
  • Data Integrity: Ensure the accuracy and consistency of large datasets by cleaning, validating, and normalizing data from various financial APIs and terminals.
  • Reporting: Generate weekly and monthly performance reports detailing portfolio analytics and risk exposure.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Technical Skills: Proficiency in SQL for data extraction and manipulation; strong programming skills in Python or R (Pandas, NumPy, Scikit-learn).
  • Financial Knowledge: Deep understanding of financial instruments, specifically Equity Options, including Call/Put options, strike prices, expiration dates, and the Greeks (Delta, Gamma, Theta, Vega).
  • Tools: Experience with financial data terminals (Bloomberg, Refinitiv Eikon) or APIs (Alpha Vantage, Quandl).
  • Communication: Excellent written and verbal communication skills with the ability to explain complex data concepts to non-technical stakeholders.

Required Skills

SQL Python R Power BI Tableau Equity Options Financial Modeling Data Visualization Implied Volatility Quantitative Analysis Bloomberg Terminal

Ready to Take This Challenge?

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