Job Description
Join Quantum Analytics Group as an Entry-Level Equity Options Data Analyst and kickstart your career in quantitative finance! We're seeking analytical minds passionate about financial markets to support our options trading desk. This hybrid role (3 days in-office in Long Beach) offers comprehensive training in options pricing models and market data analytics. Work alongside PhD quants to build data pipelines that drive multi-million dollar trading decisions. Enjoy competitive benefits, mentorship programs, and opportunities for growth into quantitative analysis roles.
Responsibilities
- Analyze equity options market data using SQL and Python to identify trading signals
- Build and maintain automated data pipelines for real-time options pricing models
- Support the development of volatility surfaces and risk analytics dashboards
- Collaborate with traders to interpret market trends and provide data-driven insights
- Monitor options chain movements and alert teams on significant anomalies
- Document data methodologies and validate model outputs against market benchmarks
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, or related quantitative field
- Proficiency in SQL and Python (Pandas, NumPy) for data manipulation
- Basic understanding of options pricing theory (Black-Scholes, binomial models)
- Experience with financial APIs (Bloomberg, Refinitiv) or market data feeds
- Strong analytical skills with attention to detail in large datasets
- Ability to communicate complex data insights to non-technical stakeholders
- 0-2 years of experience in finance, data analysis, or related internship