Job Description
Join the Meridian Capital Partners team and launch your career in the dynamic world of Equity Options and quantitative finance. We are seeking a detail-oriented Entry Level Data Analyst to support our trading desk and risk management teams. This is a rare opportunity to gain hands-on experience in a fast-paced financial environment without requiring years of prior experience.
In this role, you will bridge the gap between raw market data and actionable insights. You will work closely with senior analysts to clean, validate, and visualize complex datasets related to option chains, implied volatility, and delta hedging strategies. If you are a math enthusiast with a passion for data and finance, we want to hear from you.
Responsibilities
- Data Acquisition & Cleaning: Extract and preprocess large datasets from various exchanges to ensure accuracy for equity options analysis.
- Dashboard Development: Build and maintain interactive dashboards (using Tableau or PowerBI) to visualize option pricing trends and market sentiment for the trading floor.
- Market Research Support: Assist senior analysts in conducting quantitative research on derivative products and identifying arbitrage opportunities.
- Reporting: Generate weekly and monthly performance reports highlighting key metrics such as open interest, volume, and Greeks.
- Database Management: Maintain our internal SQL databases, optimizing queries to handle real-time market data streams.
- Compliance Documentation: Ensure all data handling processes adhere to financial regulatory standards.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field (Graduates welcome).
- Technical Skills: Proficiency in SQL for data querying; strong Excel skills (VLOOKUP, PivotTables, Macros).
- Programming: Basic to intermediate knowledge of Python or R is highly preferred.
- Financial Acumen: Understanding of basic financial concepts, specifically the mechanics of Equity Options, calls, puts, and the Black-Scholes model is a plus.
- Analytical Mindset: Ability to spot trends and anomalies in complex datasets with high attention to detail.
- Communication: Strong written and verbal communication skills to present data findings to non-technical stakeholders.