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Finance 🏢 Full Time ⭐️ Verified

Equity Options Data Analyst (Weekend Shift)

Quantitative Financial Group
San Diego
Estimated Salary
USD 85.000 – USD 130.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Join our elite team as an Equity Options Data Analyst in San Diego! This weekend-shift role offers the perfect blend of financial acumen and technical expertise, where you'll transform complex market data into actionable insights for high-stakes trading decisions. We're seeking a detail-oriented professional to drive our options pricing strategies while enjoying a unique work schedule that maximizes your personal time.

Our dynamic environment demands precision, innovation, and a passion for financial markets. You'll collaborate with top-tier traders and quantitative analysts, leveraging cutting-edge tools to monitor volatility, identify arbitrage opportunities, and optimize portfolio performance. This is your chance to make an immediate impact in the fast-paced world of derivatives trading without sacrificing your weekday schedule.

Responsibilities

  • Analyze real-time equity options data using SQL, Python, and R to identify pricing inefficiencies and trading signals
  • Develop and maintain automated data pipelines for options market data, ensuring accuracy and timeliness
  • Create sophisticated models to forecast volatility surfaces and price exotic derivatives
  • Generate comprehensive risk reports and performance dashboards for senior management
  • Collaborate with traders to backtest new strategies using historical options data
  • Monitor market conditions and alert the team to emerging opportunities or systemic risks
  • Optimize data visualization tools to communicate complex analytics to non-technical stakeholders

Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or Computer Science (Master's preferred)
  • 3+ years of experience in financial data analysis, specifically with equity derivatives
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and R for quantitative analysis
  • Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo)
  • Experience with market data platforms (Bloomberg, Refinitiv) and APIs
  • Strong knowledge of volatility surfaces, Greeks, and option strategies
  • Ability to work independently during weekend shifts while maintaining high accuracy

Required Skills

Data Analysis SQL Python R Financial Markets Equity Options Volatility Modeling Data Visualization

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