Quantitative Strategist
4 days ago
A top-tier hedge fund is seeking a Quantitative Strategist to collaborate closely with a Senior Portfolio Manager on event-driven equity strategies and index rebalancing. This role offers a rare opportunity to work alongside a rapidly rising Senior PM who has achieved significant success since joining the firm just three years ago.
Responsibilities:
- Perform in-depth research and quantitative analysis on a range of discretionary, event-driven investment strategies.
- Handle extensive and diverse datasets, including non-traditional sources, to identify trends and generate alpha signals.
- Build and maintain a flexible, high-performance backtesting framework to support strategy development.
- Create systems for data validation and trade verification to ensure integrity and accuracy throughout daily operations.
- Proficient in Python and experience utilizing popular data analysis libraries ( Pandas and NumPy).
- Ability to solve complex analytical problems, backed by experience in data-driven research environments.
- Practical experience with statistical and analytical tools (e.g., R, MATLAB) as well as compiled languages like C++ and C.
- Bachelor's or Master's degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, or a related field from a top-tier university.
- Strong grasp of quantitative finance concepts, statistical techniques, and machine learning methodologies.
- Knowledgeable about trading workflows, financial markets, and event-driven trading strategies.
- 3-5 Years working as a quantitative analyst/strategist
- Experienced with index rebalance strategies and equities
- Strong verbal and written communication skills
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Options Quantitative Strategist
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