134 INTERVIEW Transforming financial modelling Emily Prince of LSEG explains how modern infrastructure and AI are reimagining financial modelling by cutting development cycles and unlocking dormant IP across the industry BY ALICE CHAMBERS Financial institutions have long relied on highly complex models – ranging from traditional asset pricing and portfolio forecasting to AI-driven risk and stress testing – to underpin critical decisions on valuation, investment strategy and regulatory compliance. However, the supporting infrastructure for these models is often fragmented, outdated and slow, contributing to lengthy development cycles. “It often takes more than a year to move a model from concept to production,” says Emily Prince, LSEG group head of AI and analytics. “For most organisations, the timeline is even longer.” This lengthy process, however, can be dramatically cut down by using the intelligent code completion, pre-built templates and commands in LSEG’s modelling-as-a-service solution (MaaS). “We can substantially shorten the model lifecycle for our clients,” says Prince. “For banks, this is hugely beneficial, allowing them to respond faster to market trends and opportunities. By compressing these timelines – including streamlining validation and governance workflows – we help organisations drive differentiation, boosting efficiency across the board. This creates a positive ecosystem flywheel effect where everyone benefits from more efficient, accurate and timely information. This acceleration also helps institutions meet increasingly quantitative regulatory demands – such as organisation-wide stress testing across multiple asset classes and scenarios – with greater efficiency and less manual effort.” Much of the time saved comes from addressing infrastructure and regulatory demands – such as organisation-wide stress testing across multiple asset classes and scenarios. “Stress tests require hundreds of people to analyse each scenario, apply it across a company and then consolidate the results into a single report,” says Prince. “LSEG addresses these challenges with its modelling solutions, allowing firms with limited or legacy infrastructure to quickly build, deploy and scale models. For advanced users, LSEG provides modern, AI-enabled layers that integrate with existing systems, simplifying decades of complexity.” LSEG’s infrastructure was originally developed primarily for its own use, giving the group deep domain insight. “We’re a very trusted provider of underlying financial data and analytics in the industry – that’s our bedrock,” says Prince. “What really sets us apart from other modelling providers is that we have the data. For many organisations, this means there’s no need for extensive data onboarding to get started. It’s plug and play because the data’s already there, which is a huge advantage.” “Democratising ideation boosts inclusivity, driving innovation and creativity”
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