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Finance 🏢 Full Time ⭐️ Verified

Entry-Level Equity Options Data Analyst

Quantum Financial Analytics
San Francisco
Estimated Salary
USD 75.000 – USD 95.000
Live Update
13 Oktober 2026
Deadline
13 Okt 2027

Job Description

Launch your finance career with Quantum Financial Analytics! We're seeking a detail-oriented Entry-Level Equity Options Data Analyst to join our dynamic team in San Francisco. This is your gateway to the fast-paced world of derivatives trading, where you'll transform raw market data into actionable insights for our traders and portfolio managers. You'll work directly with senior quants to build foundational skills in options pricing models, volatility surfaces, and risk analytics. Our collaborative culture combines cutting-edge technology with mentorship from industry veterans, ensuring rapid career growth in quantitative finance.

At Quantum Financial Analytics, we believe in nurturing talent. You'll gain hands-on experience with real-time market data, develop proficiency in Python/R for financial modeling, and contribute to projects that directly impact our $2B options portfolio. We offer competitive compensation, comprehensive benefits, and a clear path to becoming a senior quantitative analyst. If you're passionate about markets and possess strong analytical skills, this is your opportunity to build a rewarding career in finance.

Responsibilities

  • Collect, clean, and analyze equity options market data from exchanges and alternative sources
  • Support development and validation of options pricing models (Black-Scholes, binomial trees)
  • Create automated reports tracking key metrics: implied volatility, Greeks, and term structure
  • Assist in backtesting trading strategies using historical options data
  • Monitor market events affecting options pricing and alert trading teams
  • Collaborate with IT to improve data pipelines and quality assurance processes
  • Present findings to senior analysts through interactive dashboards and visualizations

Qualifications

  • Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or related quantitative field
  • 0-2 years of experience with financial data analysis (internships acceptable)
  • Proficiency in SQL and Python (Pandas, NumPy) or R
  • Advanced Excel skills including VBA and complex financial modeling
  • Basic understanding of options concepts (calls/puts, moneyness, expiration cycles)
  • Strong problem-solving skills with attention to detail
  • Ability to work in fast-paced, deadline-driven environment
  • Excellent written and verbal communication skills

Required Skills

Data Analysis SQL Python Financial Modeling Excel Options Trading Market Data Risk Analytics

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