About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Briefs

NYU’s Quant Research Unit Partners with BMLL for Market Microstructure Research

Subscribe to our newsletter

Data and analytics provider BMLL is to collaborate with New York University’s Mathematics in Finance program, making its Data Lab available to NYU’s team of quantitative researchers. Under the program, BMLL Data Lab will run computations and conduct market microstructure research on the futures market. Users will be able to access over three years of Level-3 harmonised futures data, process it at scale, and find inferences by drilling down into every single message.

The program is directed by 2021 “Quant of the Year” Professor Petter Kolm, a leading quantitative analyst specialising in market microstructure modelling and buy-side trading.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or strategies is no longer just an operational concern – it is a front-office differentiator and, increasingly,...

BLOG

Pyth and Exa Explore New Market Data Model for AI Agents

Pyth Network and AI-native search provider Exa are collaborating to explore how AI agents can combine financial market data with web-based research, potentially opening up new approaches to data distribution, licensing and consumption as agentic AI becomes more widely adopted in financial services. The collaboration, currently in an early testing phase, brings together Exa’s search...

EVENT

TradingTech Summit London

Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...