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Finance 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst (Equity Options)

Capital Analytics Partners
Seattle
Estimated Salary
USD 95.000 – USD 130.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join our dynamic finance team at Capital Analytics Partners, where data drives innovation in equity markets. We're urgently seeking a Data Analyst to transform complex financial datasets into actionable insights for our equity options trading desk. This is your opportunity to work at the intersection of quantitative finance and cutting-edge analytics in Seattle's thriving financial district.

As a key player in our analytics division, you'll collaborate with traders and portfolio managers to optimize option pricing strategies and risk management frameworks. We offer a competitive compensation package, comprehensive benefits, and a culture that champions continuous learning and professional growth.

Responsibilities

  • Analyze equity options pricing data using statistical models and machine learning algorithms
  • Develop and maintain automated reporting dashboards for real-time market monitoring
  • Collaborate with traders to identify arbitrage opportunities and volatility patterns
  • Create risk assessment models for complex derivatives portfolios
  • Present findings to executive stakeholders through compelling visualizations
  • Optimize data pipelines for high-frequency trading environments
  • Stay current with SEC regulations affecting equity derivatives markets

Qualifications

  • Bachelor's degree in Finance, Statistics, Mathematics, or related field (Master's preferred)
  • 3+ years of experience in financial data analysis, specifically with equity options
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and R
  • Strong understanding of Black-Scholes model and other option pricing frameworks
  • Experience with visualization tools (Tableau, Power BI) and statistical software
  • Knowledge of FINRA and SEC regulations governing derivatives
  • Proven ability to translate complex data into business recommendations
  • Experience working with high-frequency trading data feeds

Required Skills

data analysis SQL Python R financial modeling equity derivatives statistical analysis data visualization risk management Black-Scholes model Tableau Power BI

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