Job Description
Are you a Data Analyst passionate about the intricacies of the financial markets? Apex Derivatives Analytics is seeking a highly skilled Equity Options Data Analyst to join our elite team in San Diego. We specialize in providing cutting-edge insights for institutional traders and investment firms. This is an Immediate Hire opportunity for a self-starter who thrives in a fast-paced, remote-first environment.
In this pivotal role, you will bridge the gap between complex equity option data and actionable trading strategies. You will be responsible for building robust data pipelines, visualizing market trends, and ensuring the integrity of our financial models. If you have a knack for numbers and a deep interest in derivatives, we want to hear from you.
Why Join Us?
- Flexible Work: Fully remote position with the option to work from our San Diego HQ.
- Competitive Compensation: Top-tier salary and performance bonuses.
- Modern Stack: Work with the latest technologies in Big Data and Fintech.
Responsibilities
- Derivative Analysis: Analyze large-scale equity options data to identify trends, volatility patterns, and arbitrage opportunities.
- Dashboard Development: Design and maintain interactive dashboards (Tableau/PowerBI) to visualize complex financial metrics for stakeholders.
- Data Engineering: Build and optimize ETL pipelines using Python and SQL to ingest and process market data from multiple exchanges.
- Risk Modeling: Collaborate with risk management teams to quantify exposure and stress-test options portfolios.
- Reporting: Generate daily, weekly, and monthly reports detailing market movements and system performance.
- Model Validation: Assist in validating mathematical models used for pricing and hedging equity options.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Finance, or a related quantitative field.
- Experience: 3+ years of experience in data analysis, specifically within the finance, trading, or Fintech sector.
- Technical Skills: Proficiency in Python (Pandas, NumPy) and SQL; experience with Big Data technologies (Spark, Hadoop) is a plus.
- Domain Knowledge: Strong understanding of equity options, derivatives, and Black-Scholes models.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Tools: Familiarity with financial terminals (Bloomberg, Reuters) or data vendors (CBOE, CME) is highly desirable.