SigTech offers quant technologies for global investors and data owners. Cloud-hosted and Python-based, SigTech accelerates the data-driven investment process, from research to live trading. The platform integrates an industry leading backtesting engine with clean, validated data across asset classes. SigTech eliminates the expensive upfront costs of infrastructure build-out, giving clients an edge in alpha generation from day one.

The SigTech platform was originally built over eight years ago to manage systematic investments at Brevan Howard, which remains a SigTech client today. After the spinoff into an independent company in early 2019, the team has grown substantially and established SigTech as the leading provider of quant technologies.

Information Technology

SigTech

Bin Ren

Gideon Michael David

Alex Urse

Linda Kilpatrick, FIA

Krishna Nadella

Stuart Broadfoot, Ph.D.

Emma P.

David Comerford-Green

Alex Armstrong

The Data Operations and Development Team at SigTech is responsible for maintaining and enhancing the quality, accessibility, and reliability of the data that powers the platform’s advanced quant technologies. They manage data pipelines, ensure datasets are clean and validated, develop quantitative models, and implement network automation solutions to optimize the data-driven investment process. This team’s efforts enable seamless integration and backtesting across asset classes, playing a crucial role in delivering high-performance investment tools to global investors and data owners.

Data Operations and Development Team

Engineering

Leadership Team

Data Operations and Development Team

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Engineering

Leadership Team