11/12/2026 | Press release | Distributed by Public on 11/12/2026 02:25
Vola's options analytics library is now integrated directly into BMLL Data Lab, allowing quant teams to fit volatility surfaces, price options and run scenario analysis without building a data pipeline or maintaining fitting and pricing infrastructure.
London, New York, 12 November 2026: BMLL, the global market data and analytics platform provider, today announced a strategic partnership with Vola Dynamics, the options analytics provider that market makers, banks, and hedge funds use to price options, model volatility and manage risk.
The collaboration integrates Vola's options analytics library directly with BMLL's historical market data within the BMLL Data Lab, combining BMLL's deep, clean, historical options and underlying market data with Vola's volatility and pricing library inside a single managed environment. Quantitative hedge funds are able to run scenarios, market makers can reconstruct historical vol surfaces and validate hedging strategies, and asset managers can add volatility fitting, pricing and scenario analysis to their historical market research without the need to build separate data or analytics workflows.
Options and Volatility Research Infrastructure Challenges
Building and maintaining an in-house pipeline to clean options and underlying data, snapshot it, fit volatility surfaces, and compute risk is slow, expensive, and specialist work. Historically, quantitative research teams have faced significant technical barriers in assembling clean historical options data and market-maker-quality fitting, pricing, and risk workflows within the same research environment. This technical friction often forces quants to spend substantial development time managing data infrastructure and maintaining software libraries rather than focusing on core research.
Responding to Market Demand for Integrated Options Analytics
As options and volatility become a core research focus driven by increased listed options activity and the growth of volatility as an asset class, research teams increasingly want to reduce the lead time needed for systematic options research.
BMLL and Vola Dynamics significantly reduce this technical barrier by enabling research teams to apply Vola's volatility surface fitting, theoretical pricing, Greeks and scenario analysis directly to BMLL options and underlying data within the BMLL Data Lab. Rather than managing two separate systems or operating complex data-cleaning pipelines, researchers can quickly move from historical market data to fitted volatility surfaces, theoretical prices, and risk metrics in minutes.
To access the capability, clients run Vola's library directly inside the BMLL Data Lab using their own Vola license. Under this structure, researchers can use BMLL's underlying historical dataset, and the Vola library to transform raw data into arbitrage free volatility surfaces, clean valuations, and realistic scenarios.
Paul Humphrey, CEO of BMLL, said: "As listed options activity grows and volatility becomes an increasingly vital asset class, quantitative teams need to move fast without getting bogged down by infrastructure. By integrating Vola's options analytics directly within the BMLL Data Lab, we are removing the heavy plumbing work of cleaning data and maintaining the options analytics stack. Our clients can now seamlessly access BMLL's deep historical data alongside Vola's pricing and risk analytics within a unified, fully managed environment, enabling them to transform market data and analytics into research-grade insights in a matter of minutes."
Timothy Klassen, CEO of Vola Dynamics, added: "Over 50 of the most sophisticated options desks in the world run Vola on-prem. For the first time, with Vola available inside the BMLL Data Lab, research teams can fit surfaces, price options and run risk scenarios on BMLL's unified historical options and underlier data, without building or maintaining an options analytics pipeline of their own."
The single managed solution is purpose-built for options and volatility research teams across systematic hedge funds, options market-makers, proprietary trading firms, asset managers, and bank quantitative research desks. Core use cases within the managed environment cover systematic research, backtesting, volatility analysis, and risk model validation.
ENDS
About BMLL
BMLL is the leading independent provider of harmonised, continually engineered Level 3, 2 and 1 historical market data and analytics, serving banks, brokers, asset managers, hedge funds, exchanges, regulators and academic institutions.
BMLL's compute-ready platform provides access to T+1 order book data and advanced pre- and post-trade analytics across global equities, ETFs, futures, options and prediction markets, giving users the ability to understand market behaviour, accelerate quantitative research, optimise AI and trading strategies, and generate alpha more predictably.
For quantitative researchers and data scientists, BMLL removes the complexity of sourcing, cleaning and harmonising historical market data, enabling them to focus on developing insights rather than engineering data pipelines. They gain immediate, cost-effective access to the industry's most comprehensive historical order book data and analytics in a cloud-native Data Science environment to analyse market structure and impact, optimise execution, back-test strategies and build AI applications on BMLL's high-fidelity data.
In October 2025, Nordic Capital acquired BMLL to accelerate the company's next phase of growth. Prior to that, BMLL secured $83 million in seed, Series A and B rounds from leading strategic investors including Optiver. The company was founded in 2014 in the machine learning laboratories of the University of Cambridge.
For more information, please explore our website and follow us on X (Twitter) and LinkedIn.
About Vola Dynamics
Vola Dynamics develops and maintains the options analytics library that the most sophisticated hedge funds, proprietary trading firms, asset managers, and banks run in production.
Accurate options analytics depends on solving several hard problems together: implying spot and borrow or forwards, modelling cash and proportional dividends, accounting for early exercise, and fitting tradeable, arbitrage-free volatility surfaces fast enough for high-frequency trading, yet smooth enough for risk management and alpha research. Vola solves all of them, across the full workflow from raw option and underlier prices to valuations, Greeks, risk scenarios, and PnL attribution. Firms that adopt Vola avoid years of in-house development and ongoing maintenance costs, freeing their quant teams to focus on research and trading.
The core library covers options on equity, commodity, and FX underliers - any traded vanilla options. Optional modules add dividend and discount curve fitting, event modeling, combo fitting, and a full exotics library. Over 50 firms use Vola, including hedge funds managing more than $1 trillion in combined AUM. Clients have relied on Vola through Brexit, Volmageddon, the COVID crash, and countless underlier-specific events.
For more information visit: https://voladynamics.com/ or follow us on LinkedIn.