Job Description
We are seeking a highly analytical and detail-oriented Part-Time Data Analyst to join our dynamic financial team in Chicago, Illinois. In this role, you will dive deep into equity options market data, providing critical insights that drive our trading strategies and risk management decisions.
As a key member of our analytics unit, you will leverage your expertise in Python, SQL, and financial modeling to uncover trends, assess volatility, and optimize our portfolio performance. If you have a passion for data and a strong understanding of the options market, we want to hear from you.
Why Join Us?
Work with cutting-edge financial data, flexible part-time hours, and a collaborative culture in the heart of Chicago’s financial district.
Responsibilities
- Collect, clean, and analyze large datasets related to equity options, including historical pricing, open interest, and implied volatility.
- Develop and maintain interactive dashboards using tools like Tableau or Power BI to visualize complex market data for the trading floor.
- Perform statistical analysis to identify patterns and correlations in market movements, assisting in the development of predictive models.
- Collaborate with traders and risk managers to interpret data findings and recommend actionable strategies.
- Ensure data accuracy and integrity by validating source data and refining reporting processes.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 1-3 years of experience in data analysis, preferably within the financial services or equity options sector.
- Proficiency in Python (Pandas, NumPy) and SQL for data manipulation and querying.
- Strong understanding of financial derivatives, options greeks (Delta, Gamma, Theta, Vega), and market mechanics.
- Excellent communication skills with the ability to translate complex data into clear, concise insights for non-technical stakeholders.