1 час назад
Quantitative Researcher - Volatility (I)
160 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Researcher - Volatility (I) (Options/Algorithmic Trading): Developing and implementing mathematical models, simulations, and automated trading strategies for options and other asset classes with an accent on statistical research, signal optimization, and portfolio construction. Focus on validating live trading applications, building Python and kdb+/q data-analysis tools, managing strategy risk, and researching market patterns to improve execution costs.
Location: New York, New York, United States; onsite
Salary: $160,000–$185,000 per year base salary
Company
is an investment management firm developing and operating systematic, algorithmic trading strategies.
What you will do
- Formulate, implement, and enhance mathematical and simulation models for computerized trading strategies.
- Research statistical effects, assess their robustness, and develop quantitative strategies for equities, options, and other asset classes.
- Validate and test trading simulations and critical live-trading applications.
- Build Shell and Python applications for daily data-dependency processing and use kdb+/q and Python to analyze strategy behavior.
- Monitor live trading automations, manage related risk, and optimize execution costs using market-structure and asset-class expertise.
- Support senior quantitative researchers and pilot cross-team research projects involving new mathematical models and analytical tools.
Requirements
- Master’s degree or foreign equivalent in Financial Engineering, Financial Mathematics, or a related field.
- At least one year of experience as a Quantitative Researcher, Quantitative Trader, or in a related hedge fund or market-maker role.
- At least one year of experience using options knowledge for asset-specific research and real trading.
- Experience analyzing, optimizing, and blending signals for options-market targets, and constructing option portfolios with mathematical optimization.
- Experience simulating systematic trade ideas, evaluating backtests, developing live-strategy monitoring reports, and performing risk management.
- At least one year of experience programming in kdb+/q and Python for data analysis and strategy development.
Culture & Benefits
- 40-hour workweek.
- Compensation includes base salary; additional compensation or benefits may be available.
- Equal opportunity and affirmative action employer.
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