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Finance 🏢 Full Time ⭐️ Verified

Senior Equity Options Data Analyst - New York, NY

ApexQuant Financial Solutions
New York
Estimated Salary
USD 90.000 – USD 140.000
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

We are seeking a highly analytical and detail-oriented Senior Equity Options Data Analyst to join our elite finance team in New York City. In this pivotal role, you will transform complex market data into actionable trading strategies, ensuring our equity options desk remains at the forefront of market efficiency.

Why Join Us?

  • Competitive compensation with a weekly pay structure for immediate financial stability.
  • Work with state-of-the-art financial data systems and high-frequency trading infrastructure.
  • Collaborative culture in the heart of Manhattan with opportunities for rapid career growth.

Key Responsibilities:

  • Analyze vast datasets related to equity options pricing, volume, and open interest to identify market trends and anomalies.
  • Develop and maintain complex SQL queries and Python scripts to automate data extraction and reporting processes.
  • Partner with traders to provide real-time insights and predictive modeling for option strategies.
  • Ensure data integrity across all trading platforms and databases.
  • Create intuitive visualizations and dashboards (Tableau/PowerBI) for executive and trading floor presentations.
  • Conduct deep-dive research into market volatility and implied volatility surface changes.

Qualifications:

  • Bachelor’s degree in Finance, Mathematics, Statistics, or Computer Science (Master’s preferred).
  • Minimum of 5 years of experience in data analysis, preferably within the financial services, equities, or options trading sector.
  • Expert proficiency in SQL and Python (Pandas, NumPy) for data manipulation.
  • Strong understanding of options theory, Greeks (Delta, Gamma, Vega), and market mechanics.
  • Excellent communication skills to translate technical data into business value.
  • Ability to thrive in a fast-paced, deadline-driven environment.

Responsibilities

  • Analyze vast datasets related to equity options pricing, volume, and open interest to identify market trends and anomalies.
  • Develop and maintain complex SQL queries and Python scripts to automate data extraction and reporting processes.
  • Partner with traders to provide real-time insights and predictive modeling for option strategies.
  • Ensure data integrity across all trading platforms and databases.
  • Create intuitive visualizations and dashboards (Tableau/PowerBI) for executive and trading floor presentations.
  • Conduct deep-dive research into market volatility and implied volatility surface changes.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, or Computer Science (Master’s preferred).
  • Minimum of 5 years of experience in data analysis, preferably within the financial services, equities, or options trading sector.
  • Expert proficiency in SQL and Python (Pandas, NumPy) for data manipulation.
  • Strong understanding of options theory, Greeks (Delta, Gamma, Vega), and market mechanics.
  • Excellent communication skills to translate technical data into business value.
  • Ability to thrive in a fast-paced, deadline-driven environment.

Required Skills

SQL Python Equity Options Financial Analysis Data Visualization Tableau Pandas Options Trading Risk Management Bloomberg Terminal

Ready to Take This Challenge?

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