
Our TechX stage explores how leading hedge funds and asset managers are building the technology, data, and research infrastructure that powers systematic investing and ultimately determines how fast ideas become live trading strategies.
It focuses on how technology teams create competitive advantage by enabling faster research, better data access, and more efficient deployment of investment strategies in live markets.
Core question: How do you turn ideas into live alpha faster than everyone else?

Data, Signals & Alternative Datasets
How leading funds source, evaluate, and integrate new datasets and signal providers to expand research capability.

Research-to-Production Infrastructure
How firms move from idea → backtest → live trading in the shortest possible time while maintaining robustness.

Scalable Data & Compute Systems
How modern funds process, store, and operationalise massive volumes of structured and unstructured data.

AI & Machine Learning in Production
How AI/ML systems are deployed in live trading environments and integrated into systematic workflows.

Chief Technology Officers (CTOs)
Focused on building infrastructure that accelerates research-to-production speed and improves overall fund performance through technology.

Heads of Front Office Engineering
Responsible for the systems that directly support portfolio managers and researchers in live trading environments.

Quant Developers / Quant Technologists
Building and maintaining tools, pipelines, and execution systems that support systematic strategies.

Research Infrastructure Engineers
Designing the frameworks that enable rapid testing, iteration, and deployment of new signals and models.

AI / ML Engineers
Applying machine learning and AI systems directly to trading, signal generation, and portfolio construction.

Heads of Technology (Hedge Funds & Asset Managers)
Overseeing technology strategy, vendor selection, and system architecture across the investment process.