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Equity Options Data Analyst - Weekly Pay - CA & TX - Apply Today

Apex Equity Solutions
Austin, TX
Estimated Salary
USD 85.000 – USD 130.000
Live Update
10 Agustus 2026
Deadline
10 Agu 2027

Job Description

We are seeking a highly analytical and detail-oriented Equity Options Data Analyst to join our growing team. In this pivotal role, you will leverage your expertise in financial markets and data science to drive strategic decision-making. We are offering competitive weekly pay and a flexible hybrid work environment for candidates in California and Texas.

As a key member of our analytics division, you will be responsible for interpreting complex market data, building predictive models, and ensuring the integrity of our equity options pricing databases. If you are passionate about finance and possess a knack for data visualization, we want to hear from you.

Responsibilities

  • Perform in-depth analysis of equity options market data, including open interest, volume, and implied volatility, to identify trends and anomalies.
  • Develop and maintain complex SQL queries and Python scripts to automate data extraction and reporting processes.
  • Design and build interactive dashboards using Tableau or PowerBI to provide real-time insights to trading desks and risk management teams.
  • Cross-reference trade data with pricing models to ensure accuracy and compliance with regulatory standards.
  • Collaborate with quantitative researchers to refine algorithmic trading strategies based on historical data patterns.
  • Document data pipelines and statistical methodologies to ensure knowledge transfer across the organization.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
  • 3+ years of experience in data analysis, specifically within financial services or equity markets.
  • Proficiency in SQL, Python (Pandas, NumPy), and R.
  • Strong understanding of options pricing models (Black-Scholes, Binomial trees) and derivatives markets.
  • Experience with data visualization tools such as Tableau, PowerBI, or Looker.
  • Excellent problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders.

Required Skills

SQL Python Financial Analysis Equity Options Data Visualization Tableau PowerBI Risk Management Statistical Modeling

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