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Entry Level Data Analyst - Equity Options Trading

Apex Financial Analytics
Austin
Estimated Salary
USD 55.000 – USD 75.000
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

Launch Your Career in Financial Data & Trading

Are you looking for an Entry Level Data Analyst role in a dynamic fintech environment? Apex Financial Analytics is expanding our Equity Options desk and seeking a motivated professional to join our Austin-based team. In this position, you will bridge the gap between complex market data and actionable trading strategies, gaining invaluable experience in high-frequency financial analytics.

We pride ourselves on a culture of excellence, continuous learning, and innovation. As a member of our team, you will work with state-of-the-art tools to drive insights that impact the market.

Why Choose Apex Financial Analytics?

  • Competitive compensation package with performance bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Professional development opportunities and mentorship programs.
  • Modern office located in the heart of downtown Austin.

Ready to advance your career in Texas? Apply today and become part of our success story.

Responsibilities

  • Market Data Processing: Collect, clean, and normalize large datasets from various equity options market feeds to ensure data integrity for analysis.
  • Trend Analysis: Analyze historical and real-time options pricing data to identify trends, volatility patterns, and potential trading opportunities.
  • Dashboard Visualization: Design and maintain interactive dashboards using Tableau or PowerBI to visualize key metrics for the trading floor.
  • Statistical Reporting: Prepare detailed daily, weekly, and monthly reports on options volume, open interest, and greeks.
  • Cross-Functional Collaboration: Partner with quantitative researchers and traders to understand data requirements and refine analytical models.
  • Database Support: Assist in maintaining and querying SQL databases to support the firm's reporting infrastructure.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Technical Proficiency: Strong proficiency in SQL (writing and optimizing queries) and Python or R.
  • Excel Skills: Advanced Excel skills, including VLOOKUP, PivotTables, and macros.
  • Visualization Tools: Familiarity with data visualization tools such as Tableau, PowerBI, or D3.js is a strong plus.
  • Attention to Detail: Meticulous approach to data verification and a keen eye for spotting errors in complex datasets.
  • Communication: Ability to explain complex data findings clearly to both technical and non-technical stakeholders.

Required Skills

SQL Python R Tableau PowerBI Excel Data Analysis Equity Options Financial Modeling Statistics Risk Management Cleveland Ohio

Ready to Take This Challenge?

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

Apply Now

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