Systematic ETF Trader
- Develop, test, and deploy systematic trading strategies focused on ETFs across global markets.
- Analyze large-scale market, pricing, and trading data to identify inefficiencies and generate alpha opportunities.
- Build predictive models and quantitative frameworks that support trading and investment decisions.
- Conduct rigorous backtesting and performance analysis to evaluate strategy robustness and scalability.
- Monitor live trading strategies and optimize execution to minimize transaction costs and market impact.
- Manage risk across portfolios, including market, liquidity, operational, and model risks.
- Research ETF structure, creation/redemption mechanisms, basket composition, and relative value opportunities.
- Collaborate closely with quantitative researchers, software engineers, and traders to enhance trading systems and strategy performance.
- Develop tools and analytics to improve strategy monitoring, execution quality, and decision-making processes.
- Continuously evaluate new datasets, technologies, and research methodologies to improve trading outcomes.
- Bachelor's, Master's, or PhD in Mathematics, Statistics, Computer Science, Engineering, Finance, Economics, Physics, or a related quantitative discipline.
- 2-10 years of experience in systematic trading, quantitative research, electronic trading, or a related role.
- Demonstrated experience developing and managing systematic trading strategies within liquid financial markets.
- Strong understanding of ETF products, market structure, liquidity dynamics, and execution considerations.
- Proficiency in Python and experience with quantitative research, statistical modeling, and data analysis.
- Familiarity with SQL and large-scale data processing techniques.
- Knowledge of machine learning, time series analysis, optimization techniques, or other advanced quantitative methods is preferred.
- Strong analytical and problem-solving skills with the ability to translate research into production trading strategies.
- Excellent communication skills and the ability to collaborate effectively across investment, trading, and technology teams.
- Experience trading or researching ETFs, equities, futures, or other highly liquid instruments.
- Knowledge of portfolio construction, risk modeling, and transaction cost analysis.
- Exposure to automated trading systems and electronic execution platforms.
- Experience working with alternative datasets and research-driven investment processes.
FAQs
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