
Options Trading Strategist
1 week ago
We're looking for a highly analytical and driven options researcher to join our fast-growing quant trading firm. As an integral member of the team, you'll be responsible for researching, prototyping, and validating systematic options trading strategies.
- Key Responsibilities:
- Design, research, and backtest quantitative options strategies (including volatility arbitrage, relative value, spread-based, and directional setups).
- Work with raw historical and real-time data (e.g., option chains, implied volatility, Greeks, open interest).
- Identify edge through data exploration, hypothesis testing, and statistical modeling.
- Build and validate predictive features using options and underlying market data.
- Collaborate with execution and data engineering teams to translate research into production-ready models.
- Monitor live strategies, analyze performance, and iterate for robustness.
- Develop tooling for strategy simulation, risk evaluation, and capital optimization.
- Required Skills and Qualifications:
- Solid background in statistics, financial engineering, mathematics, or computer science.
- Experience with systematic options trading — directional or non-directional (vol/IV, spreads, 0DTE, etc.).
- Strong coding skills (Python required; C++/Rust a plus).
- Familiarity with options data structure (IV surface, Greeks, OI, etc.) and volatility modeling (e.g., GARCH, SABR, local vol).
- Prior experience using backtesting frameworks or developing custom ones.
- Comfort working in a fast-paced, research-oriented environment with a focus on execution.
Bonus Opportunities:
Exposure to machine learning methods for options signal generation.
How to Apply:
Please submit your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.
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