Job Description
We are seeking a highly skilled Equity Options Data Analyst to join our dynamic team in the heart of Chicago's financial district. In this role, you will leverage your expertise in data analysis and financial markets to drive decision-making for our trading floor. You will be responsible for processing large volumes of market data, identifying trends, and providing actionable insights that directly impact our profitability and risk management strategies.
Our ideal candidate is passionate about the intersection of finance and technology, possessing a strong quantitative background and the ability to communicate complex data stories to stakeholders.
Responsibilities
- Market Data Analysis: Analyze complex equity options data sets to identify pricing discrepancies, volatility trends, and arbitrage opportunities.
- Dashboard Development: Design and maintain interactive dashboards using Tableau or PowerBI to visualize options flow and trading metrics for senior leadership.
- ETL Pipelines: Build and optimize ETL processes to ingest data from multiple exchanges and feed our internal analytics tools in real-time.
- Quantitative Modeling: Assist in the development and backtesting of quantitative models related to options pricing and hedging strategies.
- Collaboration: Partner with traders and risk managers to translate business requirements into technical data solutions.
Qualifications
- Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- Experience: Minimum of 3-5 years of experience in data analysis, preferably within the financial services or equity options trading sector.
- Technical Skills: Proficiency in SQL, Python (Pandas, NumPy), and R. Experience with big data technologies (Spark, Hadoop) is a plus.
- Domain Knowledge: Strong understanding of options pricing models (Black-Scholes, Binomial), Greeks, and market microstructure.
- Tools: Experience with data visualization tools such as Tableau, Qlik, or PowerBI.