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Part-Time Equity Options Data Analyst

Apex Financial Analytics
New York
Estimated Salary
USD 45.000 – USD 65.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Join Apex Financial Analytics, a premier firm at the forefront of derivatives market intelligence. We are seeking a highly analytical and detail-oriented Part-Time Equity Options Data Analyst to bolster our quantitative research division. In this pivotal role, you will transform complex market data into actionable insights, driving the precision of our trading strategies.

Why This Role is for You:

  • Flexible Schedule: Enjoy a part-time arrangement that fits your lifestyle while working with elite financial data.
  • Impactful Work: Directly influence pricing models and risk assessment protocols.
  • Competitive Compensation: Earn a top-tier hourly rate with performance-based bonuses.
  • Professional Growth: Collaborate with senior quants and gain exposure to high-frequency trading algorithms.

Key Responsibilities:

Responsibilities

  • Scrub, validate, and structure large-scale datasets of equity options trades and implied volatility surfaces.
  • Utilize Python (Pandas, NumPy) to automate data pipelines and generate real-time market reports.
  • Conduct deep-dive statistical analysis on option pricing models, including Black-Scholes and binomial trees.
  • Design and maintain interactive dashboards in Tableau or PowerBI to visualize Greeks and exposure metrics.
  • Identify arbitrage opportunities and market inefficiencies by comparing historical data against current spreads.
  • Partner with the trading desk to provide data-backed recommendations for hedging strategies.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, or Computer Science (Master’s preferred).
  • 2+ years of experience in data analysis or quantitative research within the financial sector.
  • Proficiency in Python and SQL; experience with R is a plus.
  • Strong understanding of equity options markets, including calls, puts, and the Greeks (Delta, Gamma, Vega).
  • Excellent analytical skills with a keen eye for detail and accuracy.
  • Ability to communicate complex data findings to non-technical stakeholders effectively.

Required Skills

Python SQL Data Analysis Equity Options Black-Scholes Model Implied Volatility Risk Management Tableau PowerBI Pandas NumPy Financial Modeling

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