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Equity Options Data Analyst

Financial Analytics Group
Baltimore
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
14 Oktober 2026
Deadline
14 Okt 2027

Job Description

Join our dynamic team at Financial Analytics Group, where we're revolutionizing equity options trading through cutting-edge data solutions. We're seeking a meticulous Data Analyst to transform complex financial datasets into actionable insights. This contract role offers daily pay and the opportunity to work with premier financial institutions in Baltimore's thriving financial district. You'll leverage advanced analytics to optimize trading strategies and drive investment decisions. Apply today to be part of a forward-thinking organization that values innovation and professional growth.

Responsibilities

  • Analyze equity options market data to identify trading opportunities and risk factors
  • Develop and maintain automated data pipelines for real-time options pricing models
  • Create interactive dashboards and visualizations for portfolio performance tracking
  • Collaborate with traders to refine algorithmic strategies using statistical analysis
  • Ensure data integrity across financial databases and compliance frameworks
  • Present findings to stakeholders through executive-level reports and presentations
  • Monitor market volatility and adjust analytical models accordingly

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, or related field
  • 3+ years experience in financial data analysis or options trading
  • Proficiency in SQL, Python (Pandas, NumPy), and R for quantitative analysis
  • Strong understanding of Black-Scholes models and options pricing theory
  • Experience with market data platforms like Bloomberg or Refinitiv
  • Advanced Excel skills with VBA for automation
  • Knowledge of regulatory requirements (SEC, FINRA) for derivatives trading
  • Certification in Financial Risk Management (FRM) or CFA preferred

Required Skills

SQL Python R Financial Analysis Options Pricing Data Visualization Statistical Modeling Bloomberg Risk Management

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