Job Description
Join a dynamic team at Horizon Financial Analytics and leverage your analytical expertise to navigate the complex world of equity options. We are looking for a results-oriented Data Analyst to provide actionable insights that drive our trading strategies and risk management protocols. Our team values innovation, accuracy, and the ability to thrive in a fast-paced financial environment.
Why join us?
- Competitive base salary and performance bonuses.
- Access to daily pay options for immediate financial flexibility.
- Comprehensive health, dental, and vision insurance.
- Professional development opportunities and mentorship programs.
Responsibilities
- Extract, transform, and load (ETL) large datasets from market data feeds focusing on equity options and derivatives.
- Build and maintain interactive dashboards in Tableau and Power BI to visualize volatility, open interest, and pricing trends.
- Write complex SQL queries to support ad-hoc reporting and data integrity checks.
- Collaborate with quantitative researchers to model pricing scenarios and identify arbitrage opportunities.
- Monitor daily market movements and generate timely reports for senior leadership.
- Ensure all data pipelines are robust, scalable, and compliant with financial regulations.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- Minimum of 3 years of experience in data analysis, preferably within the financial services or equity trading sector.
- Advanced proficiency in SQL and Python (Pandas, NumPy).
- Experience with financial data platforms (e.g., Bloomberg, Reuters, or proprietary market data feeds).
- Strong understanding of options pricing models (Black-Scholes, Binomial) and market terminology.
- Excellent communication skills with the ability to translate complex data into clear business insights.