Home Job Details
A
Finance 🏢 Full Time ⭐️ Verified

Equity Options Data Analyst | Austin, TX

Apex Trading Systems
Austin
Estimated Salary
USD 110.000 – USD 150.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Apex Trading Systems is on the lookout for a detail-oriented Equity Options Data Analyst to join our high-performance team in Austin, Texas. In this pivotal role, you will be the bridge between raw market data and actionable trading intelligence. You will leverage advanced statistical methods to decode volatility surfaces, analyze option pricing models, and drive the development of our proprietary trading algorithms.

We are looking for a candidate who is not just technically proficient but deeply understands the mechanics of the derivatives market. You will work in a fast-paced environment, collaborating closely with quantitative researchers and traders to build scalable data pipelines and visualization tools that directly impact our bottom line.

Responsibilities

  • Analyze large-scale datasets related to equity options, implied volatility, and open interest to identify market trends and arbitrage opportunities.
  • Develop and maintain complex Python-based scripts and SQL queries to automate data collection and cleaning processes.
  • Construct and backtest quantitative models for pricing options and hedging risk exposures.
  • Design interactive dashboards (using Tableau or PowerBI) to present real-time market data and risk metrics to the trading floor.
  • Collaborate with cross-functional teams to optimize trade execution strategies based on historical and real-time data analysis.
  • Ensure data integrity and compliance with financial regulatory standards through rigorous testing and documentation.

Qualifications

  • Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3 to 5 years of professional experience in data analysis, financial modeling, or quantitative research within the options or derivatives market.
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data manipulation and analysis.
  • Deep understanding of options pricing theory (Black-Scholes, Binomial Trees) and market microstructure.
  • Experience with Bloomberg Terminal and financial data APIs (Refinitiv, CME).
  • Excellent problem-solving skills and the ability to translate complex data into clear, actionable business insights.

Required Skills

Python SQL Financial Modeling Options Trading Volatility Analysis Data Visualization Black-Scholes Pandas NumPy Bloomberg Terminal Tableau AWS

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All