Assist in researching and developing options trading strategies, building backtests, analyzing data, and developing evaluation tools in a research-driven environment.
Quantitative Research Intern (Singapore)
We’re looking for a Quantitative Research Intern with a strong technical foundation and a keen interest in options trading. In this role, you’ll be involved in researching systematic strategies in the options space, building backtests, analyzing market data, and developing tools to support derivatives research.
This role is ideal for someone with solid Python/data skills who’s either already familiar with derivatives markets or who is eager to deepen their knowledge of options and apply quantitative thinking in a fast-paced, research-driven environment.
Job Description
- Assist in the research and development of systematic options trading strategies
- Build and evaluate backtests using historical options and underlying data
- Work with large datasets
- Develop and maintain tools for strategy evaluation, risk modeling, and performance tracking
- Document findings, present insights, and iterate on research ideas
What We’re Looking For
- Currently pursuing a degree in CS, Math, Engineering, Finance, or a related field
- Strong proficiency in Python, especially with data analysis libraries (NumPy, pandas, etc.)
- Interest in options markets and derivatives trading
- Solid understanding of statistics, math, or probability concepts
- Experience working with structured data (e.g., CSVs, APIs, databases)
- Self-motivated and comfortable working in a research-driven environment
Good to have
- Prior exposure to options theory (e.g., Greeks, Black-Scholes, IV skew, etc.)
Top Skills
Numpy
Pandas
Python
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