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ICE
Fixed Income & Data Services/Data & Analytics/ICE Data Science & Machine Learning

ICE Data Science & Machine Learning

Data isn't just information; it's our foundation in helping clients navigate the complexities of financial markets. Whether it’s fixed income, mortgages, energy, equities, or commodities, many market participants are challenged by a lack of data access and transparency.

Fixed Income Monthly Report

Chris Edmonds — President, Fixed Income & Data Services, ICE

At ICE, we’re addressing this by offering access to new data and broader data sets – like our housing market data, and depth of fixed income data. We’re shaping a culture molded around data science and machine learning, redefining how challenges are met and opportunities are seized.

As more clients trade electronically, they’re also challenged to consume, process, and analyze vast amounts of data. Here, our team of data scientists apply the latest technologies and collaborate with industry experts to help clients with analytics, back-testing, risk management and credit allocation. We’re focused on tackling some of the most pressing challenges in secondary markets - such as pricing and liquidity data - and in improving these, helping to support fixed income market electronification.

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ICE Size-Adjusted Pricing for fixed income

Historically, the fixed income market has been the domain of institutional players, trading large blocks of bonds with limited transparency.

Beneath the surface: Visibility is only as good as your data

Financial market upheaval is typically accompanied by higher volatility and reduced liquidity as participants trim risk and tighten counterparty oversight.

ICE Size-Adjusted Pricing for fixed income

Historically, the fixed income market has been the domain of institutional players, trading large blocks of bonds with limited transparency.

Beneath the surface: Visibility is only as good as your data

Financial market upheaval is typically accompanied by higher volatility and reduced liquidity as participants trim risk and tighten counterparty oversight.

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