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Senior Data Analyst - Equity Options

Sterling Financial Analytics
New York
Estimated Salary
USD 120.000 – USD 180.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Are you a data-driven professional passionate about the complexities of the financial markets? Sterling Financial Analytics is seeking a highly skilled Senior Data Analyst to join our dynamic team in New York City. In this pivotal role, you will leverage advanced analytics to decode equity option trends, providing critical insights that drive our trading strategies. We offer a competitive salary, comprehensive benefits, and the opportunity to work in the heart of Wall Street.

Why Join Us?

• Work with cutting-edge financial data and predictive modeling tools.
• Collaborate with top-tier quantitative analysts and traders.
• Enjoy a culture of innovation and professional growth.

Responsibilities

  • Conduct in-depth quantitative analysis of equity options data to identify market trends and anomalies.
  • Develop and maintain complex financial models to assess option pricing and volatility.
  • Design and implement interactive dashboards using Tableau and Power BI for real-time market monitoring.
  • Collaborate with portfolio managers and traders to translate data findings into actionable investment strategies.
  • Ensure data integrity and accuracy across all financial reporting systems.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, or related field; Master’s degree preferred.
  • 3+ years of experience in data analysis, preferably within the equity options or derivatives market.
  • Proficiency in programming languages such as Python or R for data manipulation and modeling.
  • Strong understanding of financial instruments, specifically options pricing models (Black-Scholes, Binomial).
  • Experience with SQL for database querying and data extraction.

Required Skills

Python SQL Tableau Power BI Financial Modeling Options Trading Statistical Analysis Excel Data Visualization

Ready to Take This Challenge?

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