Senior Quantitative Investment Manager

3 weeks ago

London, Greater London, United Kingdom Point72 Full time

About Point72

Point72 is a global asset management firm that utilizes systematic, data-driven trading strategies across various liquid asset classes, including equities, futures, and foreign exchange. Our commitment to rigorous research into diverse market anomalies is supported by our exceptional access to a multitude of publicly available data sources.

Role Overview

  • Actively managing portfolio risk by analyzing both historical and real-time performance metrics of strategies.
  • Overseeing automated trade execution processes while monitoring associated transaction costs.
  • Leading a small team of researchers and developers on a daily basis to drive innovation.
  • Designing, researching, and managing advanced investment strategies through the development of sophisticated quantitative financial modeling systems that support analysis and research.
  • Conducting research to gather historical and production data sources essential for constructing investment models.
  • Creating and developing quantitative mathematical algorithms to integrate diverse datasets from various providers.
  • Engineering investment models that generate buy and sell recommendations for portfolios, utilizing advanced quantitative statistical methods and investment theories to design and implement strategies that accurately forecast risk, return, and trading costs.
  • Employing quantitative models for security valuation.
  • Engaging in ongoing, cutting-edge quantitative research and analysis to refine existing strategies and explore new market opportunities.
  • Contributing to the development of successful statistical models with a focus on forecasting and optimization.
  • Expanding trading universes and volumes while exploring additional exchanges and products.

Qualifications

  • Advanced degree (Masters or Ph.D.) in a computational or analytical discipline.
  • At least 10 years of experience in developing, researching, or implementing quantitative models for equities, futures, and/or foreign exchange.
  • Practical experience with all facets of the research process, including methodology, data collection and analysis, testing, prototyping, backtesting, and performance evaluation.
  • A creative and intellectually curious mindset, with a strong interest in financial markets and human behavior.

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