London, 30 November 2021:
BMLL Technologies, the leading, independent provider of harmonised, historical Level 3 data and analytics has been named the “Best Workplace for Technologists” in The Financial Technologist Top 1% Workplace Awards 2021. Singled out from over 100 nominees, BMLL was recognised for fostering an exceptional workplace for technologists.
The judges highlighted access to market leading tools used to solve complex problems in a dynamic high-profile sector. They also noted the open culture at BMLL which encourages teamwork and gives everyone a stake in the firm's future.
Paul Humphrey, CEO, BMLL Technologies, said: “We are pleased to be recognised as the best place to work for technologists. At BMLL we have worked tirelessly to create an environment where technologists can truly make a difference, and this award is a testament to our talented team that has built this culture.”
Angie Sadler, Head of People, BMLL Technologies added: “Our employees are the present and future of the success of BMLL, and we will continue to develop our workplace where they can thrive and be proud of their work. We look forward to welcoming new members to our team as we scale and grow.”
About BMLL Technologies
BMLL Technologies is the leading, independent provider of harmonised, Level 3 historical data and analytics to the world’s most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and flexible access to the most granular Level 3, T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies and generate alpha at unparalleled speed and scale.
Founded in 2014 in the machine learning laboratories of the University of Cambridge, the platform enables researchers and quants across global financial services firms to apply complex statistical techniques to BMLL’s unique big-data sets with applications such as market impact, pre & post trade analytics, order book simulation and compliance. Users no longer need to buy, curate and harmonise data. With BMLL, they gain cost-effective, instant access to a cloud-native Data Science environment via a single web portal, with a long history of the most granular, full order book data across global equities, futures and ETFs for back-testing and simulation, delivered directly into their workflows.