Next-Generation Quants
Pivotal to the evolution of the quantitative investing approach are developments in alternative data, artificial intelligence, and machine learning. These advancements not only widen the opportunity set by unearthing new and uncorrelated alpha signals but also aid in improving our existing investment processes by enhancing model predictions on risk, return, and sustainability. As we improve our current offerings and develop next-generation quantitative solutions that are diversified from traditional quantitative portfolios, we strive to lead the industry in utilizing NeuralGCM (Neural General Circulation Models) based probability analytics for our market and algorithmic trading predictions.
Models-Based Quantitative Investments
To support our quantitative investment decisions, we employ the newly developed Qualitative Outcome Likelihood (QOL) analysis. This innovative probabilistic technique is designed to uncover behavioral patterns and properties in agent-based opinion formation models and to characterize possible outcomes with limited information. QOL analysis identifies the qualitative categories of opinion distributions a model can generate, highlights their relationships to model features such as initial conditions, agent parameters, and underlying digraph, and allows us to compare different opinion formation models. We demonstrate this technique using models like: The DeGroot model, the Hegselmann-Krause model, the Deffuant-Weisbuch model, the classical Friedkin-Johnsen model, the Bounded Confidence model, the recently proposed Backfire Effect and Biased Assimilation model, and the Classification-based model.
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As mathematicians, statisticians, and data engineers, we are constantly working to refine our financial predictions. Continuous research and development are not only essential for the success of our business but also an integral part of our investment management approach.
Focused on returns
Quantitative investment management
We extensively research, design and trade systematic investment strategies. Our aim is to generate absolute returns and provide valuable diversification for our clients’ wider portfolios across a range of market environments.
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Collaboration-led
High-performance culture
Our culture is characterised by collaboration, intellectual integrity, and methodological rigour.
As investment professionals, we have honed our technical skills to an exceptional level, paired with deep market expertise and a collaborative spirit. We want to work with individuals who embody these qualities, combining outstanding technical abilities with comprehensive market knowledge and a passion for teamwork.
Driven by research
Diverse capabilities with consistent approach
Our strategies encompass a range of trading frequencies and styles, applied to thousands of exchange-traded and over-the-counter instruments. Each strategy is founded on our conviction that original research offers a competitive investment edge. We strive to lead the industry in utilizing NeuralGCM (Neural General Circulation Models) based probability analytics for our trading predictions.
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Technology-Enabled
World-class infrastructure
Scalable and containerized processes in data, execution, and operations ensure our strategies run seamlessly. By centralizing and sharing these functions across our investment team, we enhance efficiency, lower transaction costs, and expedite the transition from idea generation to live trading. Our goal is to empower our researchers and portfolio managers, enabling their strategies to thrive.
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