BMLL has partnered with options analytics specialist Vola Dynamics to integrate volatility modelling, pricing and risk analytics directly into its historical market data research environment. The collaboration enables quantitative trading firms to analyse options markets, reconstruct historical volatility surfaces and test trading strategies without having to develop and maintain separate data processing and analytics infrastructure.
The integration brings Vola Dynamics’ analytics library into BMLL Data Lab, the market data provider’s managed, Python-based research environment. By combining normalised historical options and underlying market data with specialist pricing and risk models, the companies aim to simplify the infrastructure required for systematic options research and strategy development.
Options research presents particular challenges for quantitative teams, requiring large volumes of historical data to be cleaned, synchronised and combined with models capable of fitting volatility surfaces, calculating theoretical prices and measuring risk sensitivities. Maintaining these capabilities internally demands specialist development resources, particularly when researchers need to reconstruct historical market conditions accurately for backtesting and model validation.
The new integration allows users to apply Vola’s volatility surface fitting, theoretical pricing, Greeks calculations and scenario analysis directly to BMLL’s datasets. Researchers can generate arbitrage-free volatility surfaces, valuations and risk metrics within the same environment, reducing the need to move data between separate systems or maintain proprietary analytics pipelines.
“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,” says Paul Humphrey, CEO of BMLL. “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.”
The partnership builds on BMLL’s expansion into derivatives data and cross-asset analytics. In November 2024, the company added six years of historical US options data from the Options Price Reporting Authority (OPRA), providing nanosecond-level market information alongside its existing equities and futures datasets. More recently, BMLL integrated SpiderRock’s Options Print Set, incorporating implied volatility, Greeks and transaction-level analytics to support research into options positioning, hedging activity and underlying equity market behaviour.
The Vola arrangement extends these capabilities from the provision of historical options data and derived analytics into more specialised modelling and risk calculation workflows. It also reflects BMLL’s broader strategy of using partnerships to make its historical datasets available within third-party applications and analytical environments, including collaborations with Tradefeedr, Broadridge and SIGMA AI.
For Vola Dynamics, whose technology is already deployed by options trading desks at banks, market makers and hedge funds, the integration provides an additional route to quantitative research teams through a managed environment.
“Over 50 of the most sophisticated options desks in the world run Vola on-prem,” says Timothy Klassen, CEO of Vola Dynamics. “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.”
Clients access the functionality by running Vola’s library within BMLL Data Lab using their existing Vola licence. The combined environment is intended for systematic hedge funds, proprietary trading firms, options market makers, asset managers and bank quantitative research desks, with applications spanning strategy backtesting, volatility research, hedging analysis and risk model validation.
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