Central Risk Book Quant Researcher - Equities (VP)
Central Risk Book Quant Researcher - Equities (VP)
- Conduct quantitative research to develop and implement models for managing the central risk book and optimizing trading strategies.
- Design and implement alpha signals and execution flows to enhance market performance and reduce transaction costs.
- Work with trading, risk, and technology teams to improve execution algorithms and monitor performance.
- Analyze market data to identify inefficiencies and refine trading strategies, ensuring risk is managed within firm limits.
- Build and optimize risk management tools, contributing to real-time trading decisions and performance monitoring.
- Leverage machine learning and statistical techniques to develop advanced market microstructure models.
- 4-10 years of experience in quantitative research, risk management, or algorithmic trading within equities, ideally in a CRB group.
- Expertise in designing and implementing alpha signals, trading strategies, and risk management models.
- Strong programming skills in Python, C++, KDBq, or Java.
- Advanced degree in a quantitative field (e.g., Mathematics, Financial Engineering, or Computer Science).
- Deep knowledge of financial markets, market microstructure, and electronic trading.
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