Drive systematic options trading through quantitative research, strategy development, market analysis, and real-time risk management, using advanced modelling and technology to generate measurable trading performance.
What You'll Do:
1. Develop and implement systematic options trading strategies.
2. Combine quantitative research, market observation, and trading intuition to identify opportunities.
3. Analyse historical performance to improve strategies and execution.
4. Monitor and manage trading and risk exposures in real time.
5. Build hypotheses, design experiments, and backtest potential strategies.
6. Generate actionable insights from large datasets and market information.
7. Take ownership of independent research projects from idea through implementation.
Your Responsibilities Will Include:
1. Managing a proprietary options trading book.
2. Researching and implementing systematic trading ideas.
3. Applying mathematical and statistical techniques to financial datasets.
4. Developing quantitative models to evaluate trading opportunities and market behaviour.
5. Conducting rigorous backtesting and performance analysis.
6. Identifying opportunities to improve execution and strategy performance.
7. Collaborating with traders and other quantitative professionals.
8. Balancing research innovation with disciplined risk management and measurable outcomes.
Why Join Us:
1. Work directly within a sophisticatedoptions market-making and systematic trading environment.
2.
Apply quantitative research to real-world trading decisions.
3. Gain exposure to liquid Asian index options and complex market dynamics.
4. Combine technology, mathematics, statistics, and market insight to solve challenging problems.
5. Enjoy significant ownership and independence in developing new trading ideas.
6. See your research translated directly into strategies and measurable trading results.
About You:
1. 2+ years of systematic options trading experience , ideally within Korean or other liquid Asian index markets.
2. Proven experience designing and implementing trading strategies through quantitative research.
3. Bachelor's degree or higher inMathematics, Engineering, Physics, Computer Science , or another STEM discipline.
4. Robust Python and/or C++ programming skills.
5. Excellent quantitative, analytical, mathematical, and statistical abilities.
6. Comfortable interpreting and working with large datasets.
7. Experience developing mathematical and statistical models.
8. Independent, proactive, and capable of driving research projects.
9. Strong communication and collaboration skills.
10. Passionate about solving complex problems and delivering measurable results.