LSEG and Databricks Partner to Deliver AI-Ready Financial Data for Analytics and Agents
London Stock Exchange Group is making its financial data available natively inside Databricks via Delta Sharing. The rollout starts with Lipper Fund Data & Analytics and Cross Asset Analytics, with pricing, reference data, fundamentals, and tick history to follow. All datasets will be discoverable on the Databricks Marketplace.
The goal is simple: reduce the time and cost spent wrangling data, so teams can focus on models, decisions, and execution across portfolio management, risk, and trading.
Why this matters for finance teams
Most desks still rely on batch feeds and brittle pipelines. Analysts spend hours stitching sources before they can test a thesis or stress a book. By unifying LSEG data and enterprise data on one platform, teams can shorten model cycles, improve signal quality, and move faster on real-time opportunities and risks.
What's available now
- Live in phase one: Lipper Fund Data & Analytics, Cross Asset Analytics
- Next up: Pricing, reference data, fundamentals, and full tick history
- Access: Datasets delivered via Delta Sharing and listed on Databricks Marketplace
Enabling real-time financial AI agents
With Databricks Agent Bricks, teams can build production-grade AI agents in days, not months. These agents combine LSEG reference data or raw ticks with internal data to answer questions in natural language, automate repetitive analysis, and plug into trading, risk, and compliance workflows.
- Screen for investment opportunities and factor exposures
- Run scenario forecasts and what-if analysis on live data
- Detect anomalous trading patterns intra-day
- Auto-generate compliance and surveillance reports in real time
What they're saying
"Customers tell us they have an insatiable appetite for high-quality, AI-ready data to accelerate their analytics and AI workloads," said Stephen Orban, svp of product ecosystem and partnerships at Databricks. "Together, LSEG and Databricks can now empower financial institutions to quickly build AI agents that use LSEG's data to automate tasks, analyse trends and provide real-time, actionable insights. By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in."
Emily Prince, group head of analytics and AI at LSEG, commented: "This partnership with Databricks marks an important step in bringing LSEG's trusted data to where customers need it most. By adding our industry-leading datasets to Databricks Marketplace, we are empowering financial institutions to unlock new levels of intelligence, efficiency, and compliance. It highlights our drive to integrate with the platforms and workflows clients use most, helping them unlock value."
How to put this into practice
- Connect to LSEG datasets via Delta Sharing from your Databricks workspace, then profile data quality and latencies.
- Join LSEG feeds with your positions, orders, and risk factors to create a unified analytics table for models and agents.
- Start with one agent that drives measurable value, such as compliance reporting or trade anomaly triage.
- Backtest on historical windows, define guardrails for explanations and data lineage, and set monitoring for drift and false positives.
