Job Description
Are you ready to bridge the gap between complex financial markets and actionable data insights?
Cleveland Quantitative Strategies is seeking a highly analytical and driven Data Analyst to join our growing team in Cleveland, Ohio. In this pivotal role, you will be responsible for analyzing equity options data, identifying market trends, and providing critical insights to our trading floor and risk management teams.
We value precision, innovation, and a deep understanding of financial derivatives. If you possess a strong technical background and a passion for the stock market, we want to hear from you.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Work with cutting-edge financial data and advanced analytics tools.
- Collaborative environment in the heart of Cleveland's business district.
Responsibilities
- Equity Options Analysis: Perform deep-dive analysis on equity options flow, open interest, and implied volatility to identify arbitrage opportunities and market inefficiencies.
- Dashboard Development: Design, develop, and maintain interactive data visualizations and dashboards using tools like Tableau or PowerBI to monitor real-time market performance.
- Data Modeling: Build and refine statistical models to predict price movements and assess risk exposure for complex derivatives portfolios.
- Risk Management Support: Collaborate with the risk management team to identify potential vulnerabilities in trading strategies and propose mitigation plans.
- Data Integrity: Ensure the accuracy, consistency, and cleanliness of large datasets by writing complex SQL queries and performing data cleaning tasks.
- Reporting: Generate weekly and monthly analytical reports for senior stakeholders, translating complex data into clear, actionable business insights.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Experience: 3+ years of experience in data analysis, specifically within the financial services or equity options trading sector.
- Technical Skills: Proficiency in SQL for database querying and experience with Python or R for data manipulation and analysis.
- Tools: Strong working knowledge of Excel (VBA/Advanced formulas) and at least one BI tool (Tableau, PowerBI, or Looker).
- Financial Knowledge: Solid understanding of equity options, derivatives, and general market mechanics.
- Communication: Excellent verbal and written communication skills with the ability to present technical findings to non-technical stakeholders.