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Finance 🏢 Full Time ⭐️ Verified

Entry-Level Equity Options Data Analyst

Capital Analytics Group
Baltimore
Estimated Salary
USD 55.000 – USD 75.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join Capital Analytics Group's dynamic financial team as an Entry-Level Equity Options Data Analyst. We're seeking motivated individuals passionate about financial markets to launch their careers without prior experience. You'll transform raw options data into actionable insights for institutional clients, working alongside industry veterans in our Baltimore headquarters.

This role offers comprehensive training in options pricing models, volatility analysis, and regulatory compliance. Perfect for recent graduates or career changers with strong analytical aptitude. Enjoy competitive benefits, mentorship programs, and opportunities for rapid growth in a fast-paced financial environment.

Responsibilities

  • Analyze equity options pricing data using SQL and Excel to identify market inefficiencies
  • Support the development of options valuation models and risk assessment frameworks
  • Prepare daily reports on option chain movements and implied volatility trends
  • Collaborate with trading teams to validate data accuracy and resolve discrepancies
  • Assist in maintaining compliance with SEC and FINRA regulations for options trading
  • Document data processing methodologies and maintain audit trails

Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or related field
  • Proficiency in Microsoft Excel (VLOOKUP, pivot tables, data modeling)
  • Basic knowledge of SQL for data extraction and manipulation
  • Strong problem-solving skills with attention to detail
  • Ability to learn complex financial concepts quickly
  • Excellent written and verbal communication skills
  • Passion for financial markets and eagerness to gain options expertise

Required Skills

SQL Excel Data Analysis Financial Markets Options Trading Risk Assessment Regulatory Compliance Data Visualization

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