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Equity Options Data Analyst - Daily Pay

Quantum Analytics Group
Kansas City
Estimated Salary
USD 85.000 – USD 110.000
Live Update
12 Oktober 2026
Deadline
12 Okt 2027

Job Description

Join Quantum Analytics Group as an Equity Options Data Analyst and experience the future of compensation with daily pay! We're seeking a detail-oriented financial data expert to transform complex options data into actionable insights for our trading teams. This contract role offers unprecedented flexibility – get paid for every day you work while making a direct impact on multi-million dollar trading decisions.

Our Kansas City-based team operates at the intersection of finance and technology, where your analytical skills will drive real-time options pricing models, volatility analysis, and risk mitigation strategies. You'll collaborate with senior traders and quantitative analysts in a fast-paced environment where precision meets innovation.

If you're passionate about financial markets and want immediate compensation for your expertise, this is your opportunity to join a forward-thinking firm that values your skills and rewards your contributions daily.

Responsibilities

  • Analyze real-time equity options data to identify pricing inefficiencies and trading opportunities
  • Develop and maintain automated data pipelines for options pricing models using SQL and Python
  • Create comprehensive risk dashboards tracking delta, gamma, theta, and vega exposures
  • Collaborate with trading teams to provide data-driven insights for options strategies
  • Monitor market volatility conditions and alert teams to significant shifts
  • Validate data integrity across multiple financial data feeds and exchanges
  • Document analytical methodologies and maintain data dictionaries
  • Present complex findings to senior stakeholders through clear visualizations

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related field
  • 3+ years of experience in financial data analysis with specific options market exposure
  • Expert proficiency in SQL, Python (Pandas, NumPy), and Excel VBA
  • Deep understanding of options pricing models (Black-Scholes, Binomial) and Greeks
  • Experience with financial APIs (Bloomberg, Refinitiv) and market data platforms
  • Strong statistical analysis skills with ability to interpret large datasets
  • Proven track record of delivering actionable insights to trading teams
  • Ability to work independently with minimal supervision in fast-paced environments

Required Skills

Data Analysis SQL Python Options Trading Financial Modeling Risk Management Data Visualization Statistical Analysis Bloomberg Excel

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