Senior Quantitative Investment Manager

2 months ago

London, Greater London, United Kingdom Point72 Full time

About Point72

Point72 is a prominent investment firm that utilizes systematic, algorithm-driven trading methodologies across various liquid asset classes, including stocks, futures, and foreign exchange. Our focus is on thorough research into a multitude of market inefficiencies, supported by our exceptional access to a diverse array of publicly available data sources.

Position Overview

Proactively managing portfolio risk by analyzing both historical and real-time performance metrics of trading strategies. Overseeing automated trade execution processes while monitoring associated transaction costs. Leading a dedicated team of researchers and developers on a daily basis. Crafting, researching, and managing advanced investment strategies through the development of sophisticated quantitative financial modeling systems to support analysis and research efforts. Conducting research to gather historical and operational data sources essential for constructing investment models. Designing and implementing quantitative mathematical algorithms to integrate diverse datasets from multiple providers. Developing investment models that generate buy and sell recommendations for portfolios, employing advanced quantitative statistical methods and investment theories to create strategies that accurately forecast risk, return, and trading expenses. Utilizing quantitative models for security valuation. Engaging in ongoing, innovative quantitative research and analysis to refine existing strategies and explore new market opportunities. Enhancing components of successful statistical models, with a focus on forecasting and optimization. Broadening the trading universe and volume while expanding into additional exchanges and product offerings.

Qualifications

Advanced degree (Master's 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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