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Finance and Banking 🏢 Full Time ⭐️ Verified

Senior Equity Options Data Analyst

Apex Derivatives Analytics
San Diego
Estimated Salary
USD 120.000 – USD 180.000
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Join the Elite Team at Apex Derivatives Analytics

We are a leading financial technology firm specializing in high-frequency equity options trading. Due to rapid expansion, we are urgently hiring a Senior Equity Options Data Analyst to join our San Diego headquarters. If you have a passion for decoding market volatility and possess advanced data modeling skills, we want to hear from you.

As a Data Analyst in our Equity Options division, you will bridge the gap between complex financial theory and actionable data insights. You will work directly with our quantitative researchers and traders to enhance our pricing models and risk management strategies.

Why Join Us?

  • Competitive base salary and performance bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Flexible remote work options and modern office amenities.
  • Continuous learning opportunities in a cutting-edge fintech environment.

Responsibilities

  • Market Data Analysis: Scrub, validate, and analyze massive datasets of equity options to identify pricing discrepancies and arbitrage opportunities.
  • Model Development: Develop and maintain advanced statistical models for options pricing, including Black-Scholes, Binomial Trees, and Monte Carlo simulations.
  • Volatility Surface Modeling: Create predictive models for implied volatility surfaces and skew dynamics across various asset classes.
  • Algorithm Optimization: Collaborate with engineers to optimize data pipelines and reduce latency in real-time trading environments.
  • Risk Management: Assist in stress-testing trading strategies and calculating portfolio risk metrics (Greeks) for large-scale option portfolios.
  • Reporting: Generate high-level visualizations and reports for stakeholders to support strategic decision-making.

Qualifications

  • Education: Bachelor’s or Master’s degree in Mathematics, Physics, Statistics, Computer Science, or Finance. PhD preferred.
  • Technical Skills: Proficiency in Python (pandas, numpy, scipy), R, or C++. Strong SQL skills for database querying.
  • Financial Knowledge: Deep understanding of options theory, greeks, and derivatives pricing mechanisms.
  • Experience: Minimum 3-5 years of experience in quantitative analysis or data science within the financial sector.
  • Data Tools: Experience with big data technologies (Spark, Hadoop) or visualization tools (Tableau, PowerBI) is a plus.
  • Soft Skills: Exceptional problem-solving abilities and excellent communication skills.

Required Skills

Python SQL Options Trading Financial Modeling Black-Scholes Volatility Analysis Data Visualization Quantitative Finance C++ R

Ready to Take This Challenge?

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