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Finance 🏢 Part Time ⭐️ Verified

Part-Time Equity Options Data Analyst

Apex Trading Solutions
Philadelphia, PA
Estimated Salary
USD 25 – USD 45
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

We are looking for a talented Equity Options Data Analyst to join our dynamic finance team in Philadelphia. This is a part-time position offering the flexibility to work remotely or hybrid, ideal for those seeking to balance career growth with other commitments. You will be instrumental in transforming complex market data into actionable insights for our trading desk.

In this role, you will leverage your expertise in options pricing, volatility analysis, and data visualization to support our quantitative strategies. You will work closely with traders and quantitative researchers to ensure data integrity and accuracy in our trading models.

Responsibilities

  • Collect, clean, and analyze large datasets of equity options trades and market data.
  • Develop and maintain Python scripts to automate data processing and reporting workflows.
  • Construct and interpret volatility surfaces and Greeks for various equity indices.
  • Design interactive dashboards using Tableau or PowerBI to track trading performance and risk metrics.
  • Collaborate with the trading desk to identify trends and anomalies in options flow.
  • Ensure all data models adhere to regulatory standards and internal compliance requirements.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
  • Strong understanding of equity options, including call/put structures, strike prices, and expiration dates.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data manipulation.
  • Experience with options pricing models (Black-Scholes, Binomial models) is highly preferred.
  • Excellent analytical skills with a keen eye for detail and accuracy.
  • Ability to work independently and manage time effectively in a remote environment.

Required Skills

Python SQL Equity Options Black-Scholes Model Volatility Surface Pandas NumPy Tableau PowerBI Data Analysis Finance

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