Job Description
Are you passionate about the complexities of financial markets and quantitative analysis? Apex Derivatives Solutions is seeking a highly skilled Equity Options Data Analyst to join our elite team in New York. In this pivotal role, you will leverage advanced statistical modeling and programming expertise to drive our options trading strategies and risk management initiatives.
Our firm is at the forefront of equity derivatives innovation. You will be responsible for translating raw market data into actionable insights, building robust pricing models, and ensuring our analytical infrastructure remains cutting-edge. If you have a knack for data-driven decision-making and a deep understanding of the options market, we want to hear from you.
Key Highlights:
- Work with high-frequency trading data and real-time market feeds.
- Collaborate with top-tier quants and traders in a dynamic environment.
- Competitive salary and performance-based bonus structure.
Responsibilities
- Design and implement quantitative models for equity options pricing, including volatility surface analysis and implied volatility forecasting.
- Develop and maintain robust ETL pipelines to ingest and process large volumes of financial data from various market sources.
- Conduct rigorous backtesting of options trading strategies to validate model performance and profitability.
- Analyze market trends and identify arbitrage opportunities using advanced data analytics techniques.
- Partner with the risk management team to assess and mitigate exposure in complex options portfolios.
- Optimize database queries and data structures to ensure high-speed data retrieval for trading desks.
Qualifications
- Master’s degree in Mathematics, Statistics, Computer Science, Physics, or a related quantitative field.
- Minimum of 3-5 years of experience in financial data analysis, specifically within equity derivatives or options markets.
- Strong proficiency in programming languages such as Python, C++, or R, with a focus on data manipulation libraries (Pandas, NumPy).
- Deep working knowledge of options pricing theory (Black-Scholes, Binomial Trees, Monte Carlo simulations).
- Expertise in SQL for complex database querying and management.
- Experience with financial data terminals (Bloomberg, Refinitiv) and data visualization tools (Tableau, PowerBI).