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Senior Data Analyst - Equity Options (Immediate Hire)

ApexQuant Financial Solutions
Houston
Estimated Salary
USD 85.000 – USD 120.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

About the Role:

We are seeking a highly analytical and detail-oriented Data Analyst to join our dynamic team in Houston, Texas. In this immediate hire position, you will play a critical role in interpreting complex equity options data, driving strategic decision-making for our trading floor, and optimizing our quantitative models. If you have a knack for numbers and a deep interest in financial derivatives, we want to hear from you.

Why Join Us?

  • Competitive salary and performance bonuses.
  • State-of-the-art trading technology and infrastructure.
  • Collaborative environment with top industry experts.

Responsibilities

  • Data Ingestion & Processing: Extract, clean, and analyze massive datasets related to equity options, volatility, and market sentiment using SQL and Python.
  • Modeling & Analysis: Develop and maintain statistical models to predict market trends and assess risk exposure in equity derivatives.
  • Visualization: Create interactive dashboards and reports using Tableau or PowerBI to communicate complex data findings to stakeholders and traders.
  • Strategy Optimization: Collaborate with quantitative analysts to refine trading strategies based on historical data performance and current market conditions.
  • Reporting: Generate daily, weekly, and monthly performance reports highlighting key metrics, anomalies, and opportunities for the management team.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field. Master’s degree preferred.
  • Technical Skills: Proficiency in Python (Pandas, NumPy), SQL, and R. Experience with big data tools is a plus.
  • Domain Knowledge: Strong understanding of equity options, pricing models (Black-Scholes), and financial markets.
  • Experience: Minimum of 3-5 years of experience in data analysis or quantitative research within the financial sector.
  • Tools: Expert level in Excel (VBA, Macros) and data visualization tools like Tableau or PowerBI.
  • Soft Skills: Exceptional problem-solving abilities, attention to detail, and strong communication skills.

Required Skills

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

Ready to Take This Challenge?

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