Quantitative Researcher - Equity MFT
Quantitative Researcher - Equity MFT
A leading hedge fund continues to improve their returns on their $28bn of assets through expansion in their core systematic equities business. More details below.
Key Responsibilities
- Develop and enhance equity trading strategies using statistical and machine learning techniques.
- Conduct alpha research, backtesting, and optimization to improve portfolio performance.
- Analyze large datasets to uncover actionable insights and inefficiencies in equity markets.
- Collaborate with portfolio managers, traders, and developers to implement research findings.
- Continuously refine models and signals to adapt to changing market conditions.
Requirements
- PhD or Master's in a quantitative field (Mathematics, Statistics, Computer Science, Physics, etc.).
- Proven experience in equity markets, ideally within a hedge fund, asset manager, or proprietary trading firm.
- Strong programming skills in Python, R, or C++, with experience in numerical computing and data analysis.
- Deep understanding of statistical modelling, machine learning, and time-series analysis.
- Familiarity with market microstructure, factor models, and portfolio optimization.
- A results-driven mindset with a passion for systematic investing and alpha generation.
If you are interested please reach out to harry.moore(at)selbyjennings.com
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